Prof Chee Peng Lim

Machine learning meets advanced robotic manipulation

S Nahavandi, R Alizadehsani, D Nahavandi, C Lim, K Kelly, F Bello

(2024), Vol. 105, pp. 1-27, Information Fusion, Amsterdam, The Netherlands, C1

Fuzzy Adaptive Fault-Tolerant Stability Control Against Novel Actuator Faults and Its Application to Mechanical Systems

Q Shen, P Shi, C Lim

(2024), pp. 1-10, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach

Mohammed Al-Andoli, Shing Tan, Kok Sim, Pey Goh, Chee Lim

(2024), Vol. 12, pp. 17522-17540, IEEE Access, Piscataway, N.J., C1

Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems

Bing Yan, Peng Shi, Chee Lim, Yuan Sun, Ramesh Agarwal

(2024), pp. 1-12, IEEE Transactions on Neural Networks and Learning Systems, Piscataway, N.J., C1

Video Deepfake classification using particle swarm optimization-based evolving ensemble models

L Zhang, D Zhao, C Lim, H Asadi, H Huang, Y Yu, R Gao

(2024), Vol. 289, pp. 1-40, Knowledge-Based Systems, Amsterdam, The Netherlands, C1

Video deepfake detection using Particle Swarm Optimization improved deep neural networks

L Cunha, L Zhang, B Sowan, C Lim, Y Kong

(2024), pp. 1-7, Neural Computing and Applications, Berlin, Germany, C1

Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review

M Khan, H Asadi, L Zhang, M Qazani, S Oladazimi, C Loo, C Lim, S Nahavandi

(2024), Vol. 249, Expert Systems with Applications, C1

Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing

A Barman, P De, A Chakraborty, C Lim, R Das

(2023), Vol. 204, pp. 401-429, Mathematics and Computers in Simulation, C1

Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds

L Nguyen, N Pham, V Do, L Nguyen, T Nguyen, H Nguyen, Ngoc Nguyen, Thanh Nguyen, S Nguyen, Asim Bhatti, Chee Lim

(2023), Vol. 213, Part C, pp. 1-12, Expert Systems with Applications, Amsterdam, The Netherlands, C1

Finite-Time Observer-Based Formation Tracking With Application to Omni-Directional Robots

Y Fei, P Shi, C Lim, X Yuan

(2023), Vol. 70, pp. 10598-10606, IEEE Transactions on Industrial Electronics, Piscataway, N.J., C1

A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators

H Asadi, T Bellmann, M Qazani, S Mohamed, C Lim, S Nahavandi

(2023), Vol. 72, pp. 7024-7034, IEEE Transactions on Vehicular Technology, C1

A Novel Image Clustering Algorithm Based on Supported Nearest Neighbors

L Li, F Zhang, J Zhang, Q Hua, C Dong, C Lim

(2023), pp. 1-20, International Journal of Foundations of Computer Science, Teaneck, N.J., C1

A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery

Mohammed Al-Andoli, Shing Tan, Kok Sim, Manjeevan Seera, Chee Lim

(2023), Vol. 11, pp. 39866-39878, IEEE Access, Piscataway, N.J., C1

An Optimal Nonlinear Model Predictive Control-Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction

Mohammad Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour Karkoub, Shady Mohamed, Chee Lim, Saeid Nahavandi

(2023), pp. 1-12, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1

Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition

Nhat Pham, Duc Dang, Ngoc Nguyen, Thanh Nguyen, Hai Nguyen, Balachandran Manavalan, Chee Lim, Sy Nguyen

(2023), Vol. 230, pp. 1-13, Expert Systems with Applications, Amsterdam, The Netherlands, C1

Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators

K Janani, S Mohanrasu, C Lim, B Manavalan, R Rakkiyappan

(2023), Vol. 143, pp. 1-18, Applied Soft Computing, Amsterdam, The Netherlands, C1

Neural Inference Search for Multiloss Segmentation Models

Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao

(2023), pp. 1-15, IEEE Transactions on Neural Networks and Learning Systems, Piscataway, N.J., C1

Towards an efficient machine learning model for financial time series forecasting

A Kumar, T Chauhan, S Natesan, N Pham, N Nguyen, C Lim

(2023), Vol. 27, pp. 11329-11339, Soft Computing, Berlin, Germany, C1

An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification

Farhad Pourpanah, Chee Lim, Ali Etemad, Q Wu

(2023), pp. 1-14, IEEE Transactions on Emerging Topics in Computational Intelligence, Piscataway, N.J., C1

Enhanced bare-bones particle swarm optimization based evolving deep neural networks

L Zhang, C Peng Lim, C Liu

(2023), Vol. 230, pp. 1-28, Expert Systems with Applications, Amsterdam, The Netherlands, C1

An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection

Mohammed Al-Andoli, Shing Tan, Kok Sim, Pey Goh, Chee Lim

(2023), Vol. 44, pp. 10477-10493, Journal of Intelligent and Fuzzy Systems, Amsterdam, The Netherlands, C1

An Ensemble-Based Parallel Deep Learning Classifier with PSO-BP Optimization for Malware Detection

M Al-Andoli, K Sim, S Tan, P Goh, C Lim

(2023), Vol. 11, pp. 1-17, IEEE Access, Piscataway, N.J., C1

Enhancing the Harris' Hawk optimiser for single- and multi-objective optimisation

Y Choo, Z Cai, V Le, M Johnstone, D Creighton, C Lim

(2023), Vol. 27, pp. 16675-16715, Soft Computing, C1

Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks

L Zhang, S Slade, C Lim, H Asadi, S Nahavandi, H Huang, H Ruan

(2023), Vol. 277, pp. 1-28, Knowledge-Based Systems, Amsterdam, The Netherlands, C1

Multi-Objective Estimation of Optimal Prediction Intervals for Wind Power Forecasting

Yinsong Chen, Samson Yu, Chee Lim, Peng Shi

(2023), pp. 1-12, IEEE Transactions on Sustainable Energy, Piscataway, N.J., C1

Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach

S Subramaniam, C Lim, R Rajan, P Mani

(2023), pp. 1-11, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Piscataway, N.J., C1

Enhancing the Whale Optimisation Algorithm with sub-population and hybrid techniques for single- and multi-objective optimisation

Zheng Cai, Yit Choo, Vu Le, Chee Lim, Mingyu Liao

(2023), pp. 1-31, Soft Computing, Berlin, Germany, C1

Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls.

Shadi Farabi Maleki, Milad Yousefi, Sayeh Afshar, Siamak Pedrammehr, Chee Lim, Ali Jafarizadeh, Houshyar Asadi

(2023), pp. 1-18, Seminars in Ophthalmology, Oxford, Eng., C1

Digitalization enhancement in the pharmaceutical supply network using a supply chain risk management approach

W Wong, P Saw, S Jomthanachai, L Wang, H Ong, C Lim

(2023), Vol. 13, Scientific Reports, Berlin, Germany, C1

Observer-based fuzzy integral sliding mode control for bilateral teleoperation systems with time-varying delays

K Janani, R Baranitha, C Lim, R Rakkiyappan

(2023), Mathematics and Computers in Simulation, Amsterdam, The Netherlands, C1

A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios

M Qazani, H Asadi, M Zakarya, C Lim, A Liew, M Karkoub, S Nahavandi

(2023), IEEE Transactions on Intelligent Transportation Systems, C1

Blockchain-based Logistics 4.0: enhancing performance of logistics service providers

J Tan, W Wong, C Tan, S Jomthanachai, C Lim

(2023), pp. 1-22, Asia Pacific Journal of Marketing and Logistics, Bingley, Eng., C1

Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud

A Kaur, P Singh, R Singh Batth, C Peng Lim

(2022), Vol. 52, pp. 689-709, Software - Practice and Experience, C1

A Coherent Data Envelopment Analysis to Evaluate the Efficiency of Sustainable Supply Chains

S Jomthanachai, W Wong, C Lim

(2022), pp. 1-18, IEEE Transactions on Engineering Management, Piscataway, N.J., C1

Monotone Fuzzy Rule Interpolation for Practical Modelling of the Zero-Order TSK Fuzzy Inference System

Y Kerk, K Tay, C Lim

(2022), Vol. 30, pp. 1248-1259, IEEE Transactions on Fuzzy Systems, Piscataway, N.J., C1

Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring

M Qazani, H Asadi, M Rostami, S Mohamed, C Lim, S Nahavandi

(2022), Vol. 16, pp. 1945-1953, IEEE Systems Journal, C1

Existence, uniqueness and global stability of Clifford-valued neutral-type neural networks with time delays

G Rajchakit, R Sriraman, C Lim, B Unyong

(2022), pp. 1-20, Mathematics and Computers in Simulation, Amsterdam, The Netherlands, C1

Design and HIL Realization of an Online Adaptive Dynamic Programming Approach for Real-Time Economic Operations of Household Energy Systems

J Yuan, S Yu, G Zhang, C Lim, H Trinh, Y Zhang

(2022), Vol. 13, pp. 330-341, IEEE Transactions on Smart Grid, C1

A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform

M Qazani, H Asadi, S Mohamed, C Lim, S Nahavandi

(2022), pp. 1-12, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1

Event-Triggered Control for Networked Systems Under Denial of Service Attacks and Applications

N Zhao, W Xing, P Shi, C Lim

(2022), Vol. 69, pp. 811-820, IEEE Transactions on Circuits and Systems Part 1: Regular Papers, Piscataway, N.J., C1

Globally asymptotic stability and synchronization analysis of uncertain multi-agent systems with multiple time-varying delays and impulses

S Arockia Samy, Y Cao, R Ramachandran, J Alzabut, M Niezabitowski, C Lim

(2022), Vol. 32, pp. 737-773, International Journal of Robust and Nonlinear Control, Chichester, Eng., C1

Distributed Fault-Tolerant Cooperative Output Regulation for Multi-Agent Networks via Fixed-Time Observer and Adaptive Control

G Song, P Shi, C Lim

(2022), pp. 1-10, IEEE Transactions on Control of Network Systems, Piscataway, N.J., C1

Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments

J Chen, C Lim, K Tan, K Govindan, A Kumar

(2022), pp. 1-24, Annals of Operations Research, Berlin, Germany, C1

An optimal washout filter for motion platform using neural network and fuzzy logic

M Qazani, H Asadi, S Mohamed, C Lim, S Nahavandi

(2022), Vol. 108, pp. 1-10, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1

An information entropy-based evolutionary computation for multi-factorial optimization

T Lim, C Tan, W Wong, C Lim

(2022), Vol. 114, pp. 1-25, Applied Soft Computing, Amsterdam, The Netherlands, C1

A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

S Jomthanachai, W Wong, K Soh, C Lim

(2022), pp. 1-16, Research in Transportation Economics, Amsterdam, The Netherlands, C1

An intelligent tool for early drop-out prediction of distance learning students

C Tan, T Lim, T Liew, C Lim

(2022), Vol. 26, pp. 5901-5917, Soft Computing, Berlin, Germany, C1

Sound classification using evolving ensemble models and Particle Swarm Optimization

L Zhang, C Lim, Y Yu, M Jiang

(2022), Vol. 116, pp. 1-28, Applied Soft Computing, Amsterdam, The Netherlands, C1

An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images

S Slade, L Zhang, Y Yu, C Lim

(2022), Vol. 34, pp. 9205-9231, Neural Computing and Applications, Berlin, Germany, C1

Credit card fraud detection using a hierarchical behavior-knowledge space model

A Nandi, K Randhawa, H Chua, M Seera, C Lim

(2022), Vol. 17, pp. 1-10, PLoS ONE, San Francisco, Calif., C1

Asymptotic synchronization of fractional-order non-identical complex dynamical networks with parameter uncertainties

S Aadhithiyan, R Raja, B Kou, G Selvam, M Niezabitowski, C Lim, J Cao

(2022), pp. 1-19, Mathematical Methods in the Applied Sciences, London, Eng., C1

A Robust Non-Fragile Control Lag Synchronization for Fractional Order Multi-Weighted Complex Dynamic Networks with Coupling Delays

S Aadhithiyan, R Raja, Q Zhu, J Alzabut, M Niezabitowski, C Lim

(2022), Vol. 54, pp. 2919-2940, Neural Processing Letters, Berlin, Germany, C1

Adaptive Motion Cueing Algorithm using Optimized Fuzzy Control System for Motion Simulators

H Asadi, T Bellmann, S Mohamed, C Lim, A Khosravi, S Nahavandi

(2022), pp. 1-13, IEEE Transactions on Intelligent Vehicles, Piscataway, N.J., C1

Use of artificial intelligence to enable dark nudges by transnational food and beverage companies: analysis of company documents

R Brooks, D Nguyen, A Bhatti, S Allender, M Johnstone, C Lim, K Backholer

(2022), Vol. 25, pp. 1291-1299, Public Health Nutrition, Cambridge, Eng., C1

Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis

A Bhandari, R Marwah, Justin Smith, Duy Nguyen, A Bhatti, C Lim, A Lasocki

(2022), Vol. 66, pp. 781-797, Journal of Medical Imaging and Radiation Oncology, London, Eng., C1

Towards designing a generic and comprehensive deep reinforcement learning framework

N Nguyen, T Nguyen, N Pham, H Nguyen, D Nguyen, T Nguyen, C Lim, M Johnstone, A Bhatti, D Creighton, S Nahavandi

(2022), pp. 1-22, Applied Intelligence, Berlin, Germany, C1

A Sampling Load Frequency Control Scheme for Power Systems with Time Delays

R Sriraman, J Younis, C Lim, P Hammachukiattikul, G Rajchakit, N Boonsatit

(2022), Vol. 2022, pp. 1-14, Complexity, Cairo, Egypt, C1

Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions

Y Chen, S Yu, S Islam, C Lim, S Muyeen

(2022), Vol. 8, pp. 8805-8820, Energy Reports, Amsterdam, The Netherlands, C1

A review of artificial fish swarm algorithms: recent advances and applications

F Pourpanah, R Wang, C Lim, X Wang, D Yazdani

(2022), Vol. 56, pp. 1867-1903, Artificial Intelligence Review, Berlin, Germany, C1

A Review of Generalized Zero-Shot Learning Methods

F Pourpanah, M Abdar, Y Luo, X Zhou, R Wang, C Lim, X Wang, Q Wu

(2022), pp. 1-20, IEEE Transactions on Pattern Analysis and Machine Intelligence, Piscataway, N.J., C1

Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network

D Goel, K Mahajan, N Nguyen, N Srinivasan, C Lim

(2022), Neural Computing and Applications, Berlin, Germany, C1

A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network

M Chalak Qazani, H Asadi, L Zhang, F Tabarsinezhad, S Mohamed, C Lim, S Nahavandi

(2022), Vol. 23, pp. 23268-23277, IEEE Transactions on Intelligent Transportation Systems, C1

New Adaptive Finite-Time Cluster Synchronization of Neutral-Type Complex-Valued Coupled Neural Networks with Mixed Time Delays

N Boonsatit, S Rajendran, C Lim, A Jirawattanapanit, P Mohandas

(2022), Vol. 6, Fractal and Fractional, C1

Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition

F Zhang, X Li, C Lim, Q Hua, C Dong, J Zhai

(2022), Vol. 88, pp. 296-304, Information Fusion, C1

Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification

M Al-Andoli, S Tan, K Sim, C Lim, P Goh

(2022), Vol. 131, Applied Soft Computing, C1

A model with pseudo-label correction and distribution alignment for image clustering

F Zhang, Z Liu, C Lim, C Dong, Q Hua

(2022), Vol. 104, Computers and Electrical Engineering, C1

Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function

Y Kerk, C Teh, K Tay, C Lim

(2021), Vol. 29, pp. 1864-1873, IEEE Transactions on Fuzzy Systems, C1

Generalized linear differential equation using hyers-ulam stability approach

B Unyong, V Govindan, S Bowmiya, G Rajchakit, N Gunasekaran, R Vadivel, C Lim, P Agarwal

(2021), Vol. 6, pp. 1607-1623, AIMS Mathematics, C1

Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification

T Lawrence, L Zhang, C Lim, E Phillips

(2021), Vol. 9, pp. 14369-14386, IEEE Access, Piscataway, N.J., C1

Runge-Kutta Fehlberg Method for Solving Linear and Nonlinear Fuzzy Fredholm Integro-Differential Equations

P Hammachukiattiku, B Unyong, R Suresh, G Rajchakit, R Vadivel, N Gunasekaran, C Lim

(2021), Vol. 15, pp. 43-51, Applied Mathematics and Information Sciences, New York, N.Y., C1

Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm

M Seera, C Tan, K Chong, C Lim

(2021), Vol. 223, Energy, C1

Exponential Synchronization of Nonlinear Multi-weighted Complex Dynamic Networks with Hybrid Time Varying Delays

S Aadhithiyan, R Raja, Q Zhu, J Alzabut, M Niezabitowski, C Lim

(2021), Vol. 53, pp. 1035-1063, Neural Processing Letters, Berlin, Germany, C1

Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization

L Zhang, C Lim, Y Yu

(2021), Vol. 220, Knowledge-Based Systems, C1

Feature selection using enhanced particle swarm optimisation for classification models

H Xie, L Zhang, C Lim, Y Yu, H Liu

(2021), Vol. 21, pp. 1-40, Sensors, Switzerland, C1

Global exponential stability of Clifford-valued neural networks with time-varying delays and impulsive effects

G Rajchakit, R Sriraman, N Boonsatit, P Hammachukiattikul, C Lim, P Agarwal

(2021), Vol. 2021, Advances in Difference Equations, C1

A Lyapunov-Krasovskii Functional Approach to Stability and Linear Feedback Synchronization Control for Nonlinear Multi-Agent Systems with Mixed Time Delays

A Stephen, R Raja, J Alzabut, Q Zhu, M Niezabitowski, C Lim

(2021), Vol. 2021, Mathematical Problems in Engineering, C1

Modified projective synchronization of distributive fractional order complex dynamic networks with model uncertainty via adaptive control

S Aadhithiyan, R Raja, Q Zhu, J Alzabut, M Niezabitowski, C Lim

(2021), Vol. 147, Chaos, Solitons and Fractals, C1

Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis

G Rajchakit, R Sriraman, P Vignesh, C Lim

(2021), Vol. 407, Applied Mathematics and Computation, C1

Prediction of Motion Simulator Signals Using Time-Series Neural Networks

M Qazani, H Asadi, C Lim, S Mohamed, S Nahavandi

(2021), Vol. 57, pp. 3383-3392, IEEE Transactions on Aerospace and Electronic Systems, C1

Mixed ℋ-Infinity and Passive Synchronization of Markovian Jumping Neutral-Type Complex Dynamical Networks with Randomly Occurring Distributed Coupling Time-Varying Delays and Actuator Faults

N Boonsatit, R Sugumar, D Ajay, G Rajchakit, C Lim, P Hammachukiattikul, M Usha, P Agarwal

(2021), Vol. 2021, Complexity, C1

Exponential stability in the Lagrange sense for Clifford-valued recurrent neural networks with time delays

G Rajchakit, R Sriraman, N Boonsatit, P Hammachukiattikul, C Lim, P Agarwal

(2021), Vol. 2021, Advances in Difference Equations, C1

Synchronization in finite-time analysis of clifford-valued neural networks with finite-time distributed delays

G Rajchakit, R Sriraman, C Lim, P Sam-Ang, P Hammachukiattikul

(2021), Vol. 9, Mathematics, C1

Finite-/fixed-time synchronization of delayed Clifford-valued recurrent neural networks

N Boonsatit, G Rajchakit, R Sriraman, C Lim, P Agarwal

(2021), Vol. 2021, Advances in Difference Equations, C1

An intelligent payment card fraud detection system

M Seera, C Lim, A Kumar, L Dhamotharan, K Tan

(2021), Annals of Operations Research, United States, C1

An Application of Data Envelopment Analysis and Machine Learning Approach to Risk Management

S Jomthanachai, W Wong, C Lim

(2021), Vol. 9, pp. 85978-85994, IEEE Access, Piscataway, N.J., C1

Finite-time synchronization of clifford-valued neural networks with infinite distributed delays and impulses

N Boonsatit, R Sriraman, T Rojsiraphisal, C Lim, P Hammachukiattikul, G Rajchakit

(2021), Vol. 9, pp. 111050-111061, IEEE Access, Piscataway, N.J., C1

A semisupervised learning model based on fuzzy min-max neural networks for data classification

F Pourpanah, D Wang, R Wang, C Lim

(2021), Vol. 112, Applied Soft Computing, C1

Resilient Adaptive Event-Triggered Fuzzy Tracking Control and Filtering for Nonlinear Networked Systems under Denial of Service Attacks

N Zhao, P Shi, W Xing, C Lim

(2021), pp. 1-1, IEEE Transactions on Fuzzy Systems, Piscataway, N.J., C1

Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning

M Ahmed, A Abobakr, C Lim, S Nahavandi

(2021), Vol. 23, IEEE Transactions on Intelligent Transportation Systems, C1

Global exponential stability results for the host-parasitoid model of sugarcane borer in stochastic environment with impulsive effects via non-fragile control: An LMI approach

D Joseph, R Ramachandran, J Alzabut, J Cao, M Niezabitowski, C Lim

(2021), Vol. 43, pp. 512-531, Optimal Control Applications and Methods, Chichester, Eng., C1

Evolving deep architecture generation with residual connections for image classification using particle swarm optimization

T Lawrence, L Zhang, K Rogage, C Lim

(2021), Vol. 21, Sensors, Switzerland, C1

Ts fuzzy robust sampled-data control for nonlinear systems with bounded disturbances

T Poongodi, P Mishra, C Lim, T Saravanakumar, N Boonsatit, P Hammachukiattikul, G Rajchakit

(2021), Vol. 9, Computation, C1

A multi-objective deep reinforcement learning framework

Thanh Nguyen, Ngoc Nguyen, Peter Vamplew, Saeid Nahavandi, Richard Dazeley, Chee Lim

(2020), Vol. 96, pp. 1-12, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1

Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks

T Tan, L Zhang, C Lim

(2020), Vol. 187, Knowledge-Based Systems, C1

A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging

A Khatami, A Nazari, A Khosravi, C Lim, S Nahavandi

(2020), Vol. 149, Expert Systems with Applications, C1

Global mittag-leffler stability and stabilization analysis of fractional-order quaternion-valued memristive neural networks

G Rajchakit, P Chanthorn, P Kaewmesri, R Sriraman, C Lim

(2020), Vol. 8, Mathematics, C1

Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models

L Zhang, C Lim

(2020), Vol. 92, Applied Soft Computing Journal, C1

Robust dissipativity analysis of hopfield-type complex-valued neural networks with time-varying delays and linear fractional uncertainties

P Chanthorn, G Rajchakit, S Ramalingam, C Lim, R Ramachandran

(2020), Vol. 8, Mathematics, Alagappa Univ, Karaikudi, INDIA, C1

Delay-dependent stability criteria of delayed positive systems with uncertain control inputs: Application in mosquito-borne morbidities control

J Dianavinnarasi, Y Cao, R Raja, G Rajchakit, C Lim

(2020), Vol. 382, Applied Mathematics and Computation, C1

Global stability analysis of fractional-order quaternion-valued bidirectional associative memory neural networks

U Humphries, G Rajchakit, P Kaewmesri, P Chanthorn, R Sriraman, R Samidurai, C Lim

(2020), Vol. 8, Mathematics, C1

Robust stability of complex-valued stochastic neural networks with time-varying delays and parameter uncertainties

P Chanthorn, G Rajchakit, J Thipcha, C Emharuethai, R Sriraman, C Lim, R Ramachandran

(2020), Vol. 8, Mathematics, C1

A delay-dividing approach to robust stability of uncertain stochastic complex-valued Hopfield delayed neural networks

P Chanthorn, G Rajchakit, U Humphries, P Kaewmesri, R Sriraman, C Lim

(2020), Vol. 12, Symmetry, C1

Stochastic memristive quaternion-valued neural networks with time delays: An analysis on mean square exponential input-to-state stability

U Humphries, G Rajchakit, P Kaewmesri, P Chanthorn, R Sriraman, R Samidurai, C Lim

(2020), Vol. 8, Mathematics, C1

Discrete-time stochastic quaternion-valued neural networks with time delays: An asymptotic stability analysis

R Sriraman, G Rajchakit, C Lim, P Chanthorn, R Samidurai

(2020), Vol. 12, Symmetry, C1

A new monotone fuzzy rule relabeling framework with application to failure mode and effect analysis methodology

L Pang, K Tay, Chee Lim, H Ishibuchi

(2020), Vol. 8, pp. 144908-144930, IEEE Access, Piscataway, N.J., C1

Periodic event-triggered output regulation for linear multi-agent systems

S Zheng, P Shi, R Agarwal, C Lim

(2020), Vol. 122, Automatica, C1

Evolving CNN-LSTM models for time series prediction using enhanced Grey Wolf Optimizer

H Xie, L Zhang, Chee Lim

(2020), Vol. 8, pp. 161519-161541, IEEE Access, Piscataway, N.J., C1

Solving Black-Scholes equations using fractional generalized homotopy analysis method

S Saratha, G Sai Sundara Krishnan, M Bagyalakshmi, C Lim

(2020), Vol. 39, Computational and Applied Mathematics, C1

A Refined Fuzzy Min-Max Neural Network with New Learning Procedures for Pattern Classification

O Sayaydeh, M Mohammed, E Alhroob, H Tao, C Lim

(2020), Vol. 28, pp. 2480-2494, IEEE Transactions on Fuzzy Systems, C1

Fractional Fourier transform and stability of fractional differential equation on Lizorkin space

B Unyong, A Mohanapriya, A Ganesh, G Rajchakit, V Govindan, R Vadivel, N Gunasekaran, C Lim

(2020), Vol. 2020, Advances in Difference Equations, C1

Global Stability Analysis of Neural Networks with Constant Time Delay via Frobenius Norm

N Thoiyab, P Muruganantham, G Rajchakit, N Gunasekaran, B Unyong, U Humphries, P Kaewmesri, C Lim

(2020), Vol. 2020, Mathematical Problems in Engineering, C1

Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform with Consideration of Joints' Limitations

M Chalak Qazani, H Asadi, T Bellmann, S Mohamed, C Lim, S Nahavandi

(2020), Vol. 69, pp. 12547-12558, IEEE Transactions on Vehicular Technology, Piscataway, N.J., C1

An extended analysis on robust dissipativity of uncertain stochastic generalized neural networks with markovian jumping parameters

U Humphries, G Rajchakit, R Sriraman, P Kaewmesri, P Chanthorn, C Lim, R Samidurai

(2020), Vol. 12, pp. 1-21, Symmetry, C1

A study on fractional differential equations using the fractional Fourier transform

P Hammachukiattikul, A Mohanapriya, A Ganesh, G Rajchakit, V Govindan, N Gunasekaran, C Lim

(2020), Vol. 2020, Advances in Difference Equations, C1

Application of an evolutionary algorithm-based ensemble model to job-shop scheduling

C Tan, S Neoh, C Lim, S Hanoun, W Wong, C Loo, L Zhang, S Nahavandi

(2019), Vol. 30, pp. 879-890, Journal of intelligent manufacturing, Berlin, Germany, C1

Observer-based H∞ fault-tolerant control for linear systems with sensor and actuator faults

T Lee, C Lim, S Nahavandi, R Roberts

(2019), Vol. 13, pp. 1981-1990, IEEE systems journal, Piscataway, N.J., C1

A Review of Situation Awareness Assessment Approaches in Aviation Environments

T Nguyen, C Lim, N Nguyen, L Gordon-Brown, S Nahavandi

(2019), Vol. 13, pp. 3590-3603, IEEE Systems Journal, C1

Survey of Fuzzy Min-Max Neural Network for Pattern Classification Variants and Applications

O Al Sayaydeh, M Mohammed, C Lim

(2019), Vol. 27, pp. 635-645, IEEE Transactions on Fuzzy Systems, C1

An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem

S Choong, L Wong, C Lim

(2019), Vol. 44, pp. 622-635, Swarm and evolutionary computation, Amsterdam, The Netherlands, C1

A scalarization-based dominance evolutionary algorithm for many-objective optimization

M Khan, Samer Hanoun, Michael Johnstone, Chee Lim, Douglas Creighton, Saeid Nahavandi

(2019), Vol. 474, pp. 236-252, Information sciences, Amsterdam, The Netherlands, C1

Global robust synchronization of fractional order complex valued neural networks with mixed time varying delays and impulses

P Anbalagan, R Ramachandran, J Cao, G Rajchakit, C Lim

(2019), Vol. 17, pp. 509-520, International journal of control, automation and systems, Berlin, Germany, C1

A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification

F Pourpanah, C Lim, X Wang, C Tan, M Seera, Y Shi

(2019), Vol. 333, pp. 440-451, Neurocomputing, C1

A model-based bone milling state identification method via force sensing for a robotic surgical system

K Al-Abdullah, C Lim, Z Najdovski, W Yassin

(2019), Vol. 15, International Journal of Medical Robotics and Computer Assisted Surgery, England, C1

From car sickness to autonomous car sickness: A review

J Iskander, M Attia, K Saleh, D Nahavandi, A Abobakr, S Mohamed, H Asadi, A Khosravi, C Lim, M Hossny

(2019), Vol. 62, pp. 716-726, Transportation Research Part F: Traffic Psychology and Behaviour, C1

Evolving ensemble models for image segmentation using enhanced particle swarm optimization

T Tan, L Zhang, C Lim, B Fielding, Y Yu, E Anderson

(2019), Vol. 7, pp. 34004-34019, IEEE access, Piscataway, N.J., C1

Increasing motion fidelity in driving simulators using a fuzzy-based washout filter

Houshyar Asadi, Chee Lim, S Mohamed, D Nahavandi, Saeid Nahavandi

(2019), Vol. 4, pp. 298-308, IEEE transactions on intelligent vehicles, Piscataway, N.J., C1

Feature selection based on brain storm optimization for data classification

F Pourpanah, Y Shi, C Lim, Q Hao, C Tan

(2019), Vol. 80, pp. 761-775, Applied Soft Computing Journal, C1

Stability and pinning synchronization analysis of fractional order delayed Cohen-Grossberg neural networks with discontinuous activations

A Pratap, R Raja, J Cao, C Lim, O Bagdasar

(2019), Vol. 359, pp. 241-260, Applied mathematics and computation, Amsterdam, The Netherlands, C1

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification

F Pourpanah, R Wang, C Lim, X Wang, M Seera, C Tan

(2019), Vol. 359, pp. 139-152, Neurocomputing, C1

A reinforced fuzzy ARTMAP model for data classification

F Pourpanah, C Lim, Q Hao

(2019), Vol. 10, pp. 1643-1655, International journal of machine learning and cybernetics, Cham, Switzerland, C1

A critical review on selected fuzzy min-max neural networks and their significance and challenges in pattern classification

E Alhroob, M Mohammed, C Lim, H Tao

(2019), Vol. 7, pp. 56129-56146, IEEE Access, C1-1

Complex deep learning and evolutionary computing models in computer vision

L Zhang, C Lim, J Han

(2019), Vol. 2019, Complexity, C1

Adaptive rough radial basis function neural network with prototype outlier removal

P Goh, S Tan, W Cheah, C Lim

(2019), Vol. 505, pp. 127-143, Information sciences, Amsterdam, The Netherlands, C1

Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models

T Tan, L Zhang, C Lim

(2019), Vol. 84, Applied Soft Computing Journal, C1

Improving K-means clustering with enhanced Firefly Algorithms

H Xie, L Zhang, C Lim, Y Yu, C Liu, H Liu, J Walters

(2019), Vol. 84, Applied Soft Computing Journal, C1

Magnetic resonance imaging noise filtering using adaptive polynomial-fit non-local means

C Toa, K Sim, Z Lim, C Lim

(2019), Vol. 27, pp. 527-540, Engineering Letters, Hong Kong, C1

Monotone interval fuzzy inference systems

Y Kerk, K Tay, C Lim

(2019), Vol. 27, pp. 2255-2264, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

Hybrid data regression model based on the generalized adaptive resonance theory neural network

S Wong, K Yap, C Lim, E Lee

(2019), Vol. 7, pp. 116438-116452, IEEE Access, C1

Synchronization of an inertial neural network with time-varying delays and its application to secure communication

S Lakshmanan, M Prakash, C Lim, R Rakkiyappan, P Balasubramaniam, S Nahavandi

(2018), Vol. 29, pp. 195-207, IEEE transactions on neural networks and learning systems, Piscataway, N.J., C1

Classifier ensemble reduction using a modified firefly algorithm: an empirical evaluation

L Zhang, W Srisukkham, S Neoh, C Lim, D Pandit

(2018), Vol. 93, pp. 395-422, Expert systems with applications, Amsterdam, The Netherlands, C1

Feature selection using firefly optimization for classification and regression models

L Zhang, K Mistry, C Lim, S Neoh

(2018), Vol. 106, pp. 64-85, Decision support systems, Amsterdam, The Netherlands, C1

Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees

M Seera, K Randhawa, C Lim

(2018), Vol. 275, pp. 1744-1751, Neurocomputing, Amsterdam, The Netherlands, C1

Automatic design of hyper-heuristic based on reinforcement learning

S Choong, L Wong, C Lim

(2018), Vol. 436-437, pp. 89-107, Information Sciences, C1

An ensemble of intelligent water drop algorithm for feature selection optimization problem

B Alijla, C Lim, L Wong, A Khader, M Al-Betar

(2018), Vol. 65, pp. 531-541, Applied Soft Computing Journal, C1

Credit Card Fraud Detection Using AdaBoost and Majority Voting

K Randhawa, C Loo, M Seera, C Lim, A Nandi

(2018), Vol. 6, pp. 14277-14284, IEEE Access, C1

Force and temperature modelling of bone milling using artificial neural networks

K Al-Abdullah, H Abdi, C Lim, W Yassin

(2018), Vol. 116, pp. 25-37, Measurement: Journal of the International Measurement Confederation, C1

A hybrid FAM-CART model for online data classification

M Seera, C Lim, S Tan

(2018), Vol. 34, pp. 562-581, Computational intelligence, Chichester, Eng., C1

A fresh look at functional link neural network for motor imagery-based brain-computer interface

I Hettiarachchi, T Babaei, T Nguyen, C Lim, S Nahavandi

(2018), Vol. 305, pp. 28-35, Journal of Neuroscience Methods, Netherlands, C1-1

Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System

T Nguyen, I Hettiarachchi, A Khatami, L Gordon-Brown, C Lim, S Nahavandi

(2018), Vol. 6, pp. 27873-27884, IEEE Access, C1-1

A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator

H Asadi, C Lim, A Mohammadi, S Mohamed, S Nahavandi, L Shanmugam

(2018), Vol. 232, pp. 1025-1038, Proceedings of the Institution of Mechanical Engineers. Part I: journal of systems and control engineering, London, Eng., C1

A scattering and repulsive swarm intelligence algorithm for solving global optimization problems

D Pandit, L Zhang, S Chattopadhyay, C Lim, C Liu

(2018), Vol. 156, pp. 12-42, Knowledge-based systems, Amsterdam, The Netherlands, C1

Intelligent skin cancer detection using enhanced particle swarm optimization

T Tan, L Zhang, S Neoh, C Lim

(2018), Vol. 158, pp. 118-135, Knowledge-Based Systems, Amsterdam, The Netherlands, C1

On modeling of data-driven monotone zero-order TSK fuzzy inference systems using a system identification framework

C Teh, Y Kerk, K Tay, C Lim

(2018), Vol. 26, pp. 3860-3874, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings

T Lee, C Lim, S Nahavandi, J Park

(2018), Vol. 355, pp. 5736-5758, Journal of the Franklin Institute, C1

On the monotonicity property of the TSK fuzzy inference system: the necessity of the sufficient conditions and the monotonicity test

C Teh, K Tay, C Lim

(2018), Vol. 20, pp. 1915-1924, International journal of fuzzy systems, Cham, Switzerland, C1

Case-control comparison brain lesion segmentation for early infarct detection

F Ting, K Sim, C Lim

(2018), Vol. 69, pp. 82-95, Computerized Medical Imaging and Graphics, United States, C1

A dynamic fuzzy-based dance mechanism for the bee colony optimization algorithm

S Choong, L Wong, C Lim

(2018), Vol. 34, pp. 999-1024, Computational intelligence, Chichester, Eng., C1

Robust vehicle detection in aerial images using bag-of-words and orientation aware scanning

H Zhou, L Wei, C Lim, D Creighton, S Nahavandi

(2018), Vol. 56, pp. 7074-7085, IEEE transactions on geoscience and remote sensing, Piscataway, N.J., C1

Application of a genetic-fuzzy FMEA to rainfed lowland rice production in sarawak: Environmental, health, and safety perspectives

A Sang, K Tay, C Lim, S Nahavandi

(2018), Vol. 6, pp. 74628-74647, IEEE Access, C1

Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm

H Asadi, S Mohamed, C Lim, S Nahavandi

(2017), Vol. 47, pp. 238-254, IEEE Transactions on Systems, Man, and Cybernetics: Systems, C1

Reducing the complexity of an adaptive radial basis function network with a histogram algorithm

P Goh, S Tan, W Cheah, C Lim

(2017), Vol. 28, pp. 365-378, Neural Computing and Applications, C1

Dynamical analysis of the Hindmarsh-Rose neuron with time delays

S Lakshmanan, C Lim, S Nahavandi, M Prakash, P Balasubramaniam

(2017), Vol. 28, pp. 1953-1958, IEEE transactions on neural networks and learning systems, Piscataway, N.J., C1

Asymptotical Synchronization of Lur'e Systems Using Network Reliable Control

R Rakkiyappan, S Lakshmanan, C Lim

(2017), Vol. 139, Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, C1

An analytical interval fuzzy inference system for risk evaluation and prioritization in failure mode and effect analysis

Y Kerk, K Tay, C Lim

(2017), Vol. 11, pp. 1589-1600, IEEE systems journal, Piscataway, N.J., C1

A new PSO-based approach to fire flame detection using K-Medoids clustering

A Khatami, S Mirghasemi, A Khosravi, C Lim, S Nahavandi

(2017), Vol. 68, pp. 69-80, Expert systems with applications, Amsterdam, The Netherlands, C1

A Q-learning-based multi-agent system for data classification

F Pourpanah, C Tan, C Lim, J Mohamad-Saleh

(2017), Vol. 52, pp. 519-531, Applied soft computing, Amsterdam, The Netherlands, C1

Improving the Fuzzy Min-Max neural network with a K-nearest hyperbox expansion rule for pattern classification

M Mohammed, C Lim

(2017), Vol. 52, pp. 135-145, Applied Soft Computing Journal, C1

A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network

M Mohammed, C Lim

(2017), Vol. 86, pp. 69-79, Neural Networks, United States, C1

Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach

S Lakshmanan, C Lim, M Prakash, S Nahavandi, P Balasubramaniam

(2017), Vol. 230, pp. 243-250, Neurocomputing, C1

A new evolving tree-based model with local re-learning for document clustering and visualization

W Chang, K Tay, C Lim

(2017), Vol. 46, pp. 379-409, Neural processing letters, Berlin, Germany, C1

Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations

K Sivaranjani, R Rakkiyappan, S Lakshmanan, C Lim

(2017), Vol. 34, pp. 337-357, IMA Journal of Mathematical Control and Information, C1

A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm

D Pandit, L Zhang, C Liu, S Chattopadhyay, N Aslam, C Lim

(2017), Vol. 144, pp. 61-75, Computer Methods and Programs in Biomedicine, Ireland, C1

Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks

M Seera, C Lim, K Tan, W Liew

(2017), Vol. 249, pp. 337-344, Neurocomputing, Amsterdam, The Netherlands, C1-1

Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization

W Srisukkham, L Zhang, S Neoh, S Todryk, C Lim

(2017), Vol. 56, pp. 405-419, Applied soft computing, Amsterdam, The Netherlands, C1

Semicircular canal modeling in human perception

H Asadi, S Mohamed, C Lim, S Nahavandi, E Nalivaiko

(2017), Vol. 28, pp. 537-549, Reviews in the Neurosciences, Germany, C1

pClass+: A Novel Evolving Semi-Supervised Classifier

M Pratama, E Lughofer, C Lim, W Rahayu, T Dillon, A Budiyono

(2017), Vol. 19, pp. 863-880, International Journal of Fuzzy Systems, C1

Medical image analysis using wavelet transform and deep belief networks

A Khatami, A Khosravi, T Nguyen, C Lim, S Nahavandi

(2017), Vol. 86, pp. 190-198, Expert Systems with Applications, C1-1

Enhanced decision fusion of semantically segmented images via local majority saliency map

M Hossny, S Nahavandi, D Creighton, C Lim, A Bhatti

(2017), Vol. 53, pp. 1036-1038, Electronics Letters, C1

Analytical method using virtual PM blocks to represent magnet segmentations in surface-mounted PM synchronous machines

T Tiang, D Ishak, C Lim, M Rezal

(2017), Vol. 76, pp. 23-36, PIER B: progress in electromagnetics research B, Cambridge, Mass., C1

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network

M Pratama, E Lughofer, M Er, S Anavatti, C Lim

(2017), Vol. 262, pp. 4-27, Neurocomputing, Amsterdam, The Netherlands, C1

Fourier decomposition of segmented magnets with radial magnetization in surface-mounted PM machines

T Tiang, D Ishak, C Lim

(2017), Vol. 68, pp. 470-475, Journal of Electrical Engineering, C1

Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning

M Seera, C Lim, C Loo

(2016), Vol. 27, pp. 1273-1285, Journal of intelligent manufacturing, New York, N.Y., C1

An incremental meta-cognitive-based scaffolding fuzzy neural network

M Pratama, J Lu, S Anavatti, E Lughofer, C Lim

(2016), Vol. 171, pp. 89-105, Neurocomputing, Amsterdam, The Netherlands, C1

Leakage-delay-dependent stability analysis of Markovian jumping linear systems with time-varying delays and nonlinear perturbations

R Rakkiyappan, S Lakshmanan, R Sivasamy, C Lim

(2016), Vol. 40, pp. 5026-5043, Applied Mathematical Modelling, C1

A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction

F Pourpanah, C Lim, J Saleh

(2016), Vol. 49, pp. 74-85, Expert systems with applications, Amsterdam, The Netherlands, C1

A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets

K Chai, K Tay, C Lim

(2016), Vol. 346-347, pp. 302-317, Information Sciences, C1

A new Reinforcement Learning-based Memetic Particle Swarm Optimizer

H Samma, C Lim, J Mohamad Saleh

(2016), Vol. 43, pp. 276-297, Applied Soft Computing Journal, C1

A review on otolith models in human perception

H Asadi, S Mohamed, C Lim, S Nahavandi

(2016), Vol. 309, pp. 67-76, Behavioural brain research, Amsterdam, The Netherlands, C1

Classification of Implantable Rotary Blood Pump States with Class Noise

H Ooi, M Seera, S Ng, C Lim, C Loo, N Lovell, S Redmond, E Lim

(2016), Vol. 20, pp. 829-837, IEEE Journal of Biomedical and Health Informatics, United States, C1

Unified selective sorting approach to analyse multi-electrode extracellular data

R Veerabhadrappa, C Lim, T Nguyen, M Berk, S Tye, P Monaghan, S Nahavandi, A Bhatti

(2016), Vol. 6, Scientific Reports, England, C1

Chaotic synchronization of time-delay coupled Hindmarsh-Rose neurons via nonlinear control

I Hettiarachchi, S Lakshmanan, A Bhatti, C Lim, M Prakash, P Balasubramaniam, S Nahavandi

(2016), Vol. 86, pp. 1249-1262, Nonlinear Dynamics, C1

A memetic-based fuzzy support vector machine model and its application to license plate recognition

H Samma, C Lim, J Saleh, S Suandi

(2016), Vol. 8, pp. 235-251, Memetic computing, New York, N.Y., C1

A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming

K Chai, C Jong, K Tay, C Lim

(2016), Vol. 49, pp. 734-747, Applied Soft Computing Journal, C1

Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control

R Rakkiyappan, R Sasirekha, S Lakshmanan, C Lim

(2016), Vol. 353, pp. 4300-4329, Journal of the Franklin Institute, C1

Intelligent facial emotion recognition using moth-firefly optimization

L Zhang, K Mistry, S Neoh, C Lim

(2016), Vol. 111, pp. 248-267, Knowledge-based systems, Amsterdam, The Netherlands, C1

Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree

M Seera, C Lim, C Loo, H Singh

(2016), Vol. 27, pp. 2760-2767, IEEE Transactions on Neural Networks and Learning Systems, United States, C1

Monotone fuzzy rule relabeling for the zero-order TSK fuzzy inference system

L Pang, K Tay, C Lim

(2016), Vol. 24, pp. 1455-1463, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction

J Wang, C Lim, D Creighton, A Khorsavi, S Nahavandi, J Ugon, P Vamplew, A Stranieri, L Martin, A Freischmidt

(2015), Vol. 26, pp. 277-289, Neural computing and applications, Berlin, Germany, C1

A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry

K Tay, C Jong, C Lim

(2015), Vol. 26, pp. 551-560, Neural computing and applications, Amsterdam, The Netherlands, C1

A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring

M Seera, C Lim, C Loo, H Singh

(2015), Vol. 28, pp. 19-29, Applied Soft Computing, Amsterdam, The Netherlands, C1

Special issue: advances in intelligent data processing and analysis (part II)

C Lim, M Favorskaya, L Jain

(2015), Vol. 26, pp. 493-494, Neural computing and applications, Berlin, Germany, C1

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models

M Seera, C Lim, W Liew, E Lim, C Loo

(2015), Vol. 42, pp. 3643-3652, Expert systems with applications, Amsterdam, The Netherlands, C1

A hybrid FAM-CART model and its application to medical data classification

M Seera, C Lim, S Tan, C Loo

(2015), Neural Computing and Applications, C1

Enhancing medical named entity recognition with an extended segment representation technique

S Keretna, C Lim, D Creighton, K Shaban

(2015), Vol. 119, pp. 88-100, Computer methods and programs in biomedicine, Amsterdam, The Netherlands, C1

An enhanced fuzzy min-max neural network for pattern classification

M Mohammed, C Lim

(2015), Vol. 26, pp. 417-429, IEEE Transactions on Neural Networks and Learning Systems, C1

A study and a directory of energy consumption data sets of buildings

T Babaei jonid Abad, H Abdi, C Lim, S Nahavandi

(2015), Vol. 94, pp. 91-99, Energy and buildings, Amsterdam, The Netherlands, C1

An improved consensus-based group decision making model with heterogeneous information

F Zhang, J Ignatius, Y Zhao, C Lim, M Ghasemi, P Ng

(2015), Vol. 35, pp. 850-863, Applied soft computing, Amsterdam, The Netherlands, C1

Robust non-fragile control for offshore steel jacket platform with nonlinear perturbations

K Sivaranjani, R Rakkiyappan, L Shanmugam, C Lim

(2015), Vol. 81, pp. 2043-2057, Nonlinear dynamics, Berlin, Germany, C1

Clustering and visualization of failure modes using an evolving tree

W Chang, K Tay, C Lim

(2015), Vol. 42, pp. 7235-7244, Expert systems with applications, Amsterdam, The Netherlands, C1

Intelligent facial emotion recognition using a layered encoding cascade optimization model

S Neoh, L Zhang, K Mistry, M Hossain, C Lim, N Aslam, P Kinghorn

(2015), Vol. 34, pp. 72-93, Applied soft computing, Amsterdam, The Netherlands, C1

A comprehensive analytical subdomain model and its field solutions for surface-mounted permanent magnet machines

T Tiang, D Ishak, C Lim, M Jamil

(2015), Vol. 51, pp. 1-14, IEEE transactions on magnetics, Piscataway, N.J., C1

A new two-stage fuzzy inference system-based approach to prioritize failures in failure mode and effect analysis

T Jee, K Tay, C Lim

(2015), Vol. 64, pp. 869-877, IEEE transactions on reliability, Champaign, Ill., C1

An ensemble of intelligent water drop algorithms and its application to optimization problems

B Alijla, L Wong, C Lim, A Khader, M Al-Betar

(2015), Vol. 325, pp. 175-189, Information sciences, Amsterdam, The Netherlands, C1

An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images

S Chin Neoh, W Srisukkham, L Zhang, S Todryk, B Greystoke, C Lim, M Hossain, N Aslam

(2015), Vol. 5, Scientific Reports, England, C1

A new fuzzy peer assessment methodology for cooperative learning of students

K Chai, K Tay, C Lim

(2015), Vol. 32, pp. 468-480, Applied soft computing, Amsterdam, The Netherlands, C1

A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models

C Tan, C Lim, Y Cheah

(2014), Vol. 125, pp. 217-228, Neurocomputing, Amsterdam, The Netherlands, C1

Inclusion of environmental effects in steering behaviour modelling using fuzzy logic

M Nasir, C Lim, S Nahavandi, D Creighton

(2014), Vol. 41, pp. 1901-1914, Expert systems with applications, Amsterdam, The Netherlands, C1

A hybrid intelligent system for medical data classification

M Seera, C Lim

(2014), Vol. 41, pp. 2239-2249, Expert systems with applications, Amsterdam, The Netherlands, C1

A new method for ranking fuzzy numbers and its application to group decision making

F Zhang, J Ignatius, C Lim, Y Zhao

(2014), Vol. 38, pp. 1563-1582, Applied mathematical modelling, Amsterdam, The Netherlands, C1

Online motor fault detection and diagnosis using a hybrid FMM-CART model

M Seera, C Lim

(2014), Vol. 25, pp. 806-812, IEEE transactions on neural networks and learning systems, Piscataway, N.J., C1

Transfer learning using the online Fuzzy Min-Max neural network

M Seera, C Lim

(2014), Vol. 25, pp. 469-480, Neural computing and applications, Berlin, Germany, C1

A review of online learning in supervised neural networks

L Jain, M Seera, C Lim, P Balasubramaniam

(2014), Vol. 25, pp. 491-509, Neural computing and applications, Berlin, Germany, C1

A genetic fuzzy system to model pedestrian walking path in a built environment

M Nasir, C Lim, S Nahavandi, D Creighton

(2014), Vol. 45, pp. 18-34, Simulation Modelling Practice and Theory, Amsterdam , Netherlands, C1

Condition monitoring of induction motors : A review and an application of an ensemble of hybrid intelligent models

M Seera, C Lim, S Nahavandi, C Loo

(2014), Vol. 41, pp. 4891-4903, Expert Systems with Applications, Amsterdam, The Netherlands, C1

Prediction of pedestrians routes within a built environment in normal conditions

M Nasir, C Lim, S Nahavandi, D Creighton

(2014), Vol. 41, pp. 4975-4988, Expert Systems with Applications, Oxford, United Kingdom, C1

A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix

F Zhang, J Ignatius, C Lim, Y Zhao

(2014), Vol. 279, pp. 280-300, Information Sciences, Philadelphia, United States, C1

Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions

V Ananthi, P Balasubramaniam, C Lim

(2014), Vol. 47, pp. 3870-3880, Pattern Recognition, Amsterdam , Netherlands, C1

A two-stage dynamic group decision making method for processing ordinal information

F Zhang, J Ignatius, C Lim, M Goh

(2014), Vol. 70, pp. 189-202, Knowledge-Based Systems, Amsterdam , Netherlands, C1

A modified Intelligent Water Drops algorithm and its application to optimization problems

B Alijla, L-P Wong, C Lim, A Khader, M Al-Betar

(2014), Vol. 41, pp. 6555-6569, Expert Systems with Applications, Amsterdam, The Netherlands, C1

Application of the fuzzy failure mode and effect analysis methodology to edible bird nest processing

C Jong, K Tay, C Lim

(2013), Vol. 96, pp. 90-108, Computers and electronics in agriculture, Amsterdam, The Netherlands, C1

A modified micro genetic algorithm for undertaking multi-objective optimization problems

C Tan, C Lim, Y Cheah

(2013), Vol. 24, pp. 483-495, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1

Multi-objective image segmentation with an interactive evolutionary computation approach

W Ooi, C Lim

(2013), Vol. 24, pp. 239-249, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1

Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model

M Seera, C Lim, D Ishak, H Singh

(2013), Vol. 13, pp. 4493-4507, Applied soft computing, Amsterdam, The Netherlands, C1

A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems

K Tay, T Jee, C Lim

(2012), Vol. 23, pp. 71-92, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1-1

Application of particle swarm optimization to uniform and variable strength covering array construction

B Ahmed, K Zamli, C Lim

(2012), Vol. 12, pp. 1330-1347, Applied soft computing, Amsterdam, The Netherlands, C1-1

Constructing a t-way interaction test suite using the Particle Swarm Optimization approach

Bestoun Ahmed, Kamal Zamli, Chee Lim

(2012), Vol. 8, pp. 431-451, International journal of innovative computing, information and control, Kumamoto, Japan, C1-1

Fault detection and diagnosis of induction motors using motor current signature analysis and a hybrid FMM-CART model

M Seera, C Lim, D Ishak, H Singh

(2012), Vol. 23, pp. 97-108, IEEE transactions on neural networks and learning systems, Piscataway, N. J., C1-1

Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors

M Seera, C Lim, D Ishak, H Singh

(2012), Vol. 23, pp. 191-200, Neural computing and applications, London, England, C1

A novel trust measurement method based on certified belief in strength for a multi-agent classifier system

M Mohammed, C Lim, A Quteishat

(2012), pp. 1-9, Neural computing and applications, London, England, C1

Fuzzy inference system-based criterion-referenced assessment model

K Tay, C Lim

(2011), Vol. 38, pp. 11129-11136, Expert systems with applications, Amsterdam , The Netherlands, C1-1

A hybrid FMM-CART model for fault detection and diagnosis of induction motors

M Seera, C Lim, D Ishak

(2011), Vol. 7064, pp. 730-736, Lecture notes in computer science, Heidelberg, Germany, C1-1

A multi-objective sensitivity approach to training providers' evaluation and quota allocation planning

J Ignatius, A Mustafa, M Jantan, C Lim, T Ramayah, J Leen

(2011), Vol. 10, pp. 147-174, International journal of information technology and decision making, Singapore, Singapore, C1-1

A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement

A Quteishat, C Lim, J Saleh, J Tweedale, L Jain

(2011), Vol. 15, pp. 221-231, Soft computing, Heidelberg, Germany, C1-1

Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification

S Tan, C Lim

(2011), Vol. 22, pp. 57-68, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1-1

Improved GART neural network model for pattern classification and rule extraction with application to power systems

K Yap, C Lim, M Au

(2011), Vol. 22, pp. 2310-2323, IEEE transactions on neural networks, Piscataway, N. J., C1-1

Integration of supervised ART-based neural networks with a hybrid genetic algorithm

S Tan, C Lim

(2011), Vol. 15, pp. 205-219, Soft computing, Heidelberg, Germany, C1-1

On monotonic sufficient conditions of fuzzy inference systems and their applications

K Tay, C Lim

(2011), Vol. 19, pp. 731-757, International journal of uncertainty, fuzziness and knowlege-based systems, Singapore, C1-1

Reinforcement learning of competitive and cooperative skills in soccer agents

J Leng, C Lim

(2011), Vol. 11, pp. 1353-1362, Applied soft computing, Amsterdam, The Netherlands, C1-1

A computer-aided detection system for automatic mammography mass identification

H Samma, C Lim, A Samma

(2010), Vol. 6444, pp. 226-233, Lecture notes in computer science, Heidelberg, Germany, C1-1

A GA-PSO layered encoding evolutionary approach to 0/1 knapsack optimization

S Neoh, N Morad, C Lim, Z Aziz

(2010), Vol. 6, pp. 3489-3505, International journal of innovative computing, information and control, Kumamoto, Japan, C1-1

A layered-encoding cascade optimization approach to product-mix planning in high-mix-low-volume manufacturing

S Neoh, N Morad, C Lim, Z Aziz

(2010), Vol. 40, pp. 133-146, IEEE transactions on systems, man, and cybernetics part A : systems and humans, Piscataway, N. J, C1-1

A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification

A Quteishat, C Lim, K Tan

(2010), Vol. 40, pp. 641-650, IEEE transactions on systems, man, and cybernetics part A : systems and humans, Piscataway, N. J., C1-1

A novel Euclidean quality threshold ARTMAP network and its application to pattern classification

S Yaakob, C Lim, L Jain

(2010), Vol. 19, pp. 227-236, Neural computing and applications, Guildford, Surrey, C1-1

An empirical analysis of colour image segmentation using fuzzy c-means clustering

C Lim, W Ooi

(2010), Vol. 2, pp. 97-106, International journal of knowledge engineering and soft data paradigms, Geneva, Switzerland, C1-1

An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification

K Yap, C Lim, J Mohamad-Saleh

(2010), Vol. 21, pp. 65-78, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1-1

Enhancing the failure mode and effect analysis methodology with fuzzy inference techniques

K Tay, C Lim

(2010), Vol. 21, pp. 135-146, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1-1

Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network

M Tran, C Lim, C Abeynayake, L Jain

(2010), Vol. 21, pp. 89-99, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1-1

Evolutionary fuzzy ARTMAP neural networks and their applications to fault detection and diagnosis

S Tan, C Lim

(2010), Vol. 31, pp. 1-24, Neural processing letters, Seacaucus, NJ, C1-1

Use of the circle segments visualization technique for neural network feature selection and analysis

C Lim, S Wang, K Tan, J Navarro, L Jain

(2010), Vol. 73, pp. 613-621, Neurocomputing, Amsterdam , Netherlands, C1-1

A neural network-based multi-agent classifier system

A Quteishat, C Lim, J Tweedale, L Jain

(2009), Vol. 72, pp. 1639-1647, Neurocomputing, Amsterdam, The Netherlands, C1-1

An evolutionary artificial neural network for medical pattern classification

S Tan, C Lim, K Tan, J Navarro

(2009), Vol. 5864 LNCS, pp. 475-482, Lecture notes in computer science, Berlin, Germany, C1-1

An interactive evolutionary algorithm for MMIC low noise amplifier design

S Neoh, A Marzuki, N Morad, C Lim, Z Aziz

(2009), Vol. 3, pp. 15-19, ICIC express letters, [Japan], C1-1

Fuzzy ARTMAP and a hybrid chaos genetic algorithm for medical pattern classification

C Loo, S Tan, C Lim

(2009), Vol. 10, pp. 12-21, Australian journal of intelligent information processing systems, Canberra, A. C. T., C1-1

An online pruning strategy for supervised ARTMAP-based neural networks

S Tan, M Rao, C Lim

(2009), Vol. 18, pp. 387-395, Neural computing and applications, London, England, C1-1

Fusion of colour and texture features in image segmentation: an empirical study

W Ooi, C Lim

(2009), Vol. 57, pp. 8-18, Imaging science journal, Leeds, England, C1-1

Authenticating the identity of computer users with typing biometrics and the fuzzy min-max neural network

A Quteishat, C Lim, C Loy, W Lai

(2009), Vol. 14, pp. 47-53, International journal of biomedical soft computing and human sciences, Fukuoka, Japan, C1-1

A hybrid ART-GRNN online learning neural network with a ε-insensitive loss function

K Yap, C Lim, I Abidin

(2008), Vol. 19, pp. 1641-1646, IEEE transactions on neural networks, Piscataway, N. J., C1-1

A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm

S Tan, M Rao, C Lim

(2008), Vol. 12, pp. 765-775, Soft computing, Heidelberg, Germany, C1-1

A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification

A Quteishat, C Lim

(2008), Vol. 8, pp. 985-995, Applied soft computing, Amsterdam, The Netherlands, C1-1

An artificial neural network classifier design based-on variable kernel and non-parametric density estimation

C Teh, C Lim

(2008), Vol. 27, pp. 137-151, Neural processing letters, Secaucus, United States, C1-1

Fuzzy ARTMAP dynamic decay adjustment : an improved fuzzy ARTMAP model with a conflict resolving facility

S Tan, M Rao, C Lim

(2008), Vol. 8, pp. 543-554, Applied soft computing, Amsterdam, The Netherlands, C1-1

On the use of fuzzy inference techniques in assessment models : part I - theoretical properties

K Tay, C Lim

(2008), Vol. 7, pp. 269-281, Fuzzy optimization and decision making, Dordrecht, The Netherlands, C1-1

On the use of fuzzy inference techniques in assessment models : part II : industrial applications

K Tay, C Lim

(2008), Vol. 7, pp. 283-302, Fuzzy optimization and decision making, New York, N.Y., C1-1

A Hybrid ART-GRNN Online Learning Neural Network With a $\varepsilon$ -Insensitive Loss Function

Keem Siah Yap, C Lim, I Abidi

(2008), Vol. 19, pp. 1641-1646, IEEE transactions on neural networks, Piscataway, N.J., C1-1

A cooperative learning model for the fuzzy ARTMAP-dynamic decay adjustment network with the genetic algorithm

S Tan, M Rao, C Lim

(2007), Vol. 39, pp. 169-178, Advances in soft computing, Berlin, Germany, C1-1

Hybrid neural network model for rule generation and its application to process fault detection and diagnosis

S Tan, C Lim, M Rao

(2007), Vol. 20, pp. 203-213, Engineering applications of artificial intelligence, Amsterdam , The Netherlands, C1-1

A layered matrix cascade genetic algorithm and particle swarm optimization approach to thermal power generation scheduling

S Neoh, C Lim, N Morad, A Aziz

(2007), Vol. 39, pp. 241-250, Advances in Soft Computing, Berlin , Germany, C1-1

A modified fuzzy min-max neural network and its application to fault classification

A Quteishat, C Lim

(2007), Vol. 39, pp. 179-188, Advances in soft computing, Berlin, Germany, C1-1

A hybrid Kansei engineering system using the self-organizing map neural network

C The, C Lim

(2007), Vol. 2, pp. 23-38, Journal of IT in Asia, Sarawak, Malaysia, C1-1

Text-dependent speaker recognition using wavelets and neural networks

C Lim, S Woo

(2007), Vol. 11, pp. 549-556, Soft computing, Heidelberg, Germany, C1-1

A guided rule reduction system for prioritization of failures in fuzzy FMEA

K Tay, C Lim

(2006), Vol. 36, pp. 301-310, Advances in soft computing, Berlin , Germany, C1-1

A hybrid intelligent system and its application to fault detection and diagnosis

C Teh, C Lim

(2006), Vol. 36, pp. 165-175, Advances in soft computing, Berlin , Germany, C1-1

A probabilistic SOM-kMER model for intelligent data analysis

C Teh, C Lim

(2006), Vol. 5, pp. 825-832, WSEAS Transactions on systems, Athens, Greece, C1-1

An intelligent decision support system for manufacturing technology investments

K Hua Tan, C Lim, K Platts, H Shen Koay

(2006), Vol. 104, pp. 179-190, International Journal of Production Economics, Amsterdam , Netherlands, C1-1

An Intelligent Human-Computer Interaction System for Decision Support

C Lim, C Teh

(2006), Vol. 3, pp. 54-63, International Journal of Information Technology, Singapore, C1-1

Fuzzy clustering of color and texture features for image segmentation: a study on satellite image retrieval

W Ooi, C Lim

(2006), Vol. 17, pp. 297-311, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1-1

Application of a noisy data classification technique to determine the occurrence of flashover in compartment fires

E Lee, Y Lee, C Lim, C Tang

(2006), Vol. 20, pp. 213-222, Advanced engineering informatics, Oxford, England, C1-1

Fuzzy FMEA with a guided rules reduction system for prioritization of failures

K Tay, C Lim

(2006), Vol. 23, pp. 1047-1066, International Journal of Quality and Reliability Management, Bingley, U. K., C1-1

Managing manufacturing technology investments: An intelligent learning system approach

K Tan, C Lim, K Platts, H Koay

(2006), Vol. 19, pp. 4-13, International journal of computer integrated manufacturing, Essex, United Kingdom, C1-1

Monitoring the formation of kernel-based topographic maps in a hybrid SOM-kMER model

C Teh, C Lim

(2006), Vol. 17, pp. 1336-1341, IEEE transactions on neural networks, Piscataway, NJ, C1-1

On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment

S Tan, M Rao, C Lim

(2006), Vol. 69, pp. 2456-2460, Neurocomputing, Amsterdam , Netherlands, C1-1

The application of an ensemble of boosted elman networks to time series prediction : a benchmark study

C Lim, W Goh

(2006), Vol. 3, pp. 119-126, International journal of computational intelligence, Canakkale, Turkey, C1-1

An adaptive fuzzy min-max conflict-resolving classifier

S Tan, M Rao, C Lim

(2006), Vol. 34, pp. 65-76, Advances in soft computing, Berlin, Germany, C1-1

Boosting the performance of the fuzzy min-max neural network in pattern classification tasks

K Chen, C Lim, R Harrison

(2006), Vol. 34, pp. 373-387, Advances in soft computing, Berlin, Germany, C1-1

Application of fuzzy inference techniques to FMEA

K Tay, C Lim

(2006), Vol. 34, pp. 161-171, Advances in soft computing, Berlin, Germany, C1-1

Hybrid image segmentation using fuzzy clustering algorithms satellite imagery searching and retrieval

W Ooi, C Lim

(2006), Vol. 34, pp. 355-372, Advances in soft computing, Berlin, Germany, C1-1

A hybrid neural network system for pattern classification tasks with missing features

C Lim, J Leong, M Kuan

(2005), Vol. 27, pp. 648-653, IEEE Transactions on pattern analysis and machine intelligence, Piscataway, NJ, C1-1

A hybrid SOM-kMER model for data visualization and classification

C Teh, C Lim

(2005), Vol. 2, pp. 189-203, International journal of hybrid intelligent systems, Amsterdam, The Netherlands, C1-1

Application of a neural fuzzy system with rule extraction to fault detection and diagnosis

K Chen, C Lim, W Lai

(2005), Vol. 16, pp. 679-691, Journal of intelligent manufacturing, New York, United States, C1-1

Application of fuzzy ARTMAP and fuzzy c-means clustering to pattern classification with incomplete data

C Lim, M Kuan, R Harrison

(2005), Vol. 14, pp. 104-113, Neural computing and applications, London, United Kindgom, C1-1

Application of the Gaussian mixture model to drug dissolution profiles prediction

C Lim, S Quek, K Peh

(2005), Vol. 14, pp. 345-352, Neural computing and applications, London, United Kingdom, C1-1

A Web-based Telehealth System for Medical Diagnosis and Information Management

C Lim, W Ng, O Ismail

(2005), Vol. 32, pp. 184-187, Media Asia, C1-1

A hybrid neural network model for noisy data regression

E Lee, C Lim, R Yuen, S Lo

(2004), Vol. 34, pp. 951-960, IEEE Transactions on systems, man, and cybernetics, Part B: Cybernetics, Piscataway, NJ, C1-1

Application of the fuzzy ARTMAP neural network to classification of manufacturing technology projects

K Tan, C Lim, H Koay, K Platts

(2004), Vol. 3, pp. 636-641, WSEAS transactions on computers, Athens, Greece, C1-1

Optimization of product mix planning in high-mix-low-volume industries using genetic algorithms

S Neoh, N Morad, C Lim, A Abdul-Aziz

(2004), Vol. 3, pp. 2541-2545, WSEAS transactions on computers, Athens, Greece, C1-1

An adaptive conflict-resolving neural-fuzzy classifier

S Tan, M Venkata, C Rao, C Lim

(2004), Vol. 1, pp. 113-117, WSEAS transactions on computers, Athens, Greece, C1-1

Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant

S Tan, C Lim

(2004), Vol. 19, pp. 369-377, IEEE transactions on energy conversion, Piscataway, N.J., C1-1

Fusion of GRNN and FA for online noisy data regression

R Yuen, E Lee, C Lim, G Cheng

(2004), Vol. 19, pp. 227-241, Neural processing letters, Secaucus, United States, C1-1

On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study

M Kuan, C Lim, R Harrison

(2003), Vol. 3, pp. 23-43, International journal of computational intelligence and applications, London, United Kingdom, C1-1

Online pattern classification with multiple neural network systems: an experimental study

C Lim, R Harrison

(2003), Vol. 33, pp. 235-247, IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Piscataway, N. J, C1-1

Predicting drug dissolution profiles with an ensemble of boosted neural networks : A time series approach

W Goh, C Lim, K Peh

(2003), Vol. 14, pp. 459-463, IEEE transactions on neural networks, Piscataway, NJ, C1-1

Prediction of drug release profiles using an intelligent learning system: an experimental study in transdermal iontophoresis

C Lim, S Quek, K Peh

(2003), Vol. 31, pp. 159-168, Journal of pharmaceutical and biomedical analysis, Amsterdam , Netherlands, C1-1

Rule learning and extraction using a hybrid neural network : a case study on fault detection and diagnosis

S Tan, C Lim

(2003), Vol. 32, pp. 179-191, Advances in soft computing, Berlin, Germany, C1-1

Fault detection in a power generation plant using a supervised adaptive resonance theory neural network

S Tan, C Lim

(2002), Vol. 6, pp. 88-95, International journal of knowledge-based and intelligent engineering systems, Amsterdam, The Netherlands, C1-1

Application of a recurrent neural network to prediction of drug dissolution profiles

W Goh, C Lim, K Peh, K Subari

(2002), Vol. 10, pp. 311-317, Neural Computing and Applications, London, United Kindgom, C1-1

Prediction of Drug Dissolution Profiles Using Artificial Neural Networks

S Quek, C Lim, K Peh

(2001), Vol. 1, pp. 187-202, International journal of computational intelligence and applications, London, England, C1-1

A recurrent neural network approach to the prediction of drug dissolution profiles

W Goh, C Lim, K Peh, K Subari

(2001), Vol. 5, pp. 69-75, International journal of knowledge-based and intelligent engineering systems, Amsterdam, The Netherlands, C1-1

Three-dimensional object classification using shadow moire´ and neural network

M Ratnam, C Lim, A Khor

(2001), Vol. 40, pp. 2036-2040, Optical engineering, Bellingham, United States, C1-1

Use of artificial neural networks to predict drug dissolution profiles and evaluation of network performance using similarity factor

K Peh, C Lim, S Quek, K Khoh

(2000), Vol. 17, pp. 1384-1388, Pharmaceutical research, New York, NY, C1-1

Evaluation of the fuzzy ARTMAP neural network using off-line and on-line learning strategies

C Lim, H Toh, T Lee

(1999), Vol. 9, pp. 327-339, Neural network world, Prague, Czech Republic, C1-1

Hyperboloidal model study of internal field emission from diamond emitters

M Chung, C Lim, B Yoon

(1998), Vol. 33, pp. 730-735, JOURNAL OF THE KOREAN PHYSICAL SOCIETY, C1-1

An incremental adaptive network for on-line supervised learning and probability estimation

C Lim, R Harrison

(1997), Vol. 10, pp. 925-939, Neural networks, Oxford, United Kingdom, C1-1

Application of autonomous neural network systems to medical pattern classification tasks

C Lim, R Harrison, R Kennedy

(1997), Vol. 11, pp. 215-239, Artificial intelligence in medicine, Amsterdam, The Netherlands, C1-1

Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration

C Lim, R Harrison

(1997), Vol. 10, pp. 755-774, Neural networks, Oxford, United Kingdom, C1-1

Detection of brain conditions from evoked responses using artificial neural networks

B Jervis, T Roberts, A Lacey, R Woodcock, S Yu, R Harrison, C Lim, E Allen, S Oke

(1996), pp. 911-918, IEE Colloquium (Digest), Stevenage, England, C1-1

STUDY OF THE PATTERN OF EMPLOYMENT AND WAGES IN SMALL INDUSTRY IN MALAYSIA

C LIM

(1978), Vol. 16, pp. 34-53, DEVELOPING ECONOMIES, C1-1