Dr Imran Razzak

Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers

A Qayyum, M Mazher, T Khan, I Razzak

(2023), Vol. 117, pp. 1-15, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1-1

Distributed Optimization of Graph Convolutional Network Using Subgraph Variance

Taige Zhao, Xiangyu Song, Man Li, Jianxin Li, Wei Luo, Imran Razzak

(2023), pp. 1-12, IEEE Transactions on Neural Networks and Learning Systems, Piscataway, N.J., C1

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic

Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

(2023), pp. 1-9, IEEE Journal of Biomedical and Health Informatics, Piscataway, N.J., C1-1

Simple and robust depth-wise cascaded network for polyp segmentation

T Khan, M Arsalan, I Razzak, E Meijering

(2023), Vol. 121, pp. 1-10, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1-1

Review on chest pathogies detection systems using deep learning techniques

A Rehman, A Khan, G Fatima, S Naz, I Razzak

(2023), Artificial Intelligence Review, Berlin, Germany, C1-1

Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities

A Rehman, S Naz, I Razzak

(2022), Vol. 28, pp. 1339-1371, Multimedia Systems, C1

Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning

M Tanveer, A Rashid, M Ganaie, M Reza, I Razzak, K Hua

(2022), Vol. 26, pp. 1453-1463, IEEE Journal of Biomedical and Health Informatics, United States, C1

Predicting brain age using machine learning algorithms: a comprehensive evaluation

Iman Beheshti, M Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, M Tanveer

(2022), pp. 1-9, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks

I Khan, N Moustafa, I Razzak, M Tanveer, D Pi, Y Pan, B Ali

(2022), Vol. 127, pp. 181-193, Future Generation Computer Systems, Amsterdam, The Netherlands, C1

A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing

N Nasser, Q Emad-ul-Haq, M Imran, A Ali, I Razzak, A Al-Helali

(2022), pp. 1-15, Neural Computing and Applications, Berlin, Germany, C1

A Convolutional Attention Network for Unifying General and Sequential Recommenders

Shahpar Yakhchi, Amin Behehsti, Seyed-mohssen Ghafari, Imran Razzak, Mehmet Orgun, Mehdi Elahi

(2022), Vol. 59, pp. 1-12, Information Processing and Management, Amsterdam, The Netherlands, C1

A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics

Md Rahman, Md Rahim, Md Rahman, Nour Moustafa, Imran Razzak, Tanvir Ahmad, Mohammad Patwary

(2022), pp. 1-16, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1

Multi-objective flower pollination algorithm: a new technique for EEG signal denoising

Z Alyasseri, A Khader, M Al-Betar, X Yang, M Mohammed, K Abdulkareem, S Kadry, I Razzak

(2022), pp. 1-20, Neural Computing and Applications, Berlin, Germany, C1

Assessment of physiological states from contactless face video: a sparse representation approach

A Qayyum, M Mazher, A Nuhu, A Benzinou, A Malik, I Razzak

(2022), pp. 1-21, Computing, Berlin, Germany, C1

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media

H Zogan, I Razzak, X Wang, S Jameel, G Xu

(2022), Vol. 25, pp. 281-304, World Wide Web, Berlin, Germany, C1

Natural language interactions enhanced by data visualization to explore insurance claims and manage risk

M Islam, I Razzak, X Wang, P Tilocca, G Xu

(2022), pp. 1-19, Annals of Operations Research, New York, N.Y., C1

Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children

A Qayyum, I Razzak, N Moustafa, M Mazher

(2022), Vol. 119, pp. 1-8, Image and Vision Computing, Amsterdam, The Netherlands, C1

Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data

I Razzak, S Naz, A Ashraf, F Khalifa, M Bouadjenek, S Mumtaz

(2022), pp. 1-18, International Journal of Intelligent Systems, London, Eng., C1

Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification

P Khan, I Razzak, A Dengel, S Ahmed

(2022), pp. 1-10, IEEE Transactions on Computational Social Systems, Piscataway, N.J., C1

Automated methods for diagnosis of Parkinson's disease and predicting severity level

Z Ayaz, S Naz, N Khan, I Razzak, M Imran

(2022), pp. 1-36, Neural Computing and Applications, Berlin, Germany, C1

An intelligent and efficient network intrusion detection system using deep learning

E Qazi, M Imran, N Haider, M Shoaib, I Razzak

(2022), Vol. 99, Computers and Electrical Engineering, C1

Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems

J Hu, K Kaur, H Lin, X Wang, M Hassan, I Razzak, M Hammoudeh

(2022), pp. 1-10, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1

ModelOps for enhanced decision-making and governance in emergency control rooms

K Lefevre, C Arora, K Lee, A Zaslavsky, M Bouadjenek, A Hassani, I Razzak

(2022), pp. 1-15, Environment Systems and Decisions, Berlin, Germany, C1

DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing

F Schiliro, N Moustafa, I Razzak, A Beheshti

(2022), IEEE Transactions on Intelligent Transportation Systems, C1-1

Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks

Sara Salim, Nour Moustafa, Benjamin Turnbull, Imran Razzak

(2022), pp. 1-19, ACM Transactions on Multimedia Computing, Communications, and Applications, New York, N.Y., C1-1

Federated Learning for Privacy Preservation of Healthcare Data from Smartphone-based Side-Channel Attacks

A Rehman, I Razzak, G Xu

(2022), Vol. PP, pp. 1-1, IEEE Journal of Biomedical and Health Informatics, United States, C1-1

You can try without visiting: a comprehensive survey on virtually try-on outfits

H Ghodhbani, M Neji, I Razzak, A Alimi

(2022), Vol. 81, pp. 19967-19998, Multimedia Tools and Applications, United States, C1-1

Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detection

A Rashid, I Razzak, M Tanveer, M Hobbs

(2022), pp. S0019-0578(22)00248-8-, ISA Transactions, United States, C1

An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health

M Rahim, M Rahman, M Rahman, N Zaman, N Moustafa, I Razzak

(2022), Vol. 6, pp. 1298-1306, IEEE Transactions on Green Communications and Networking, C1

Restricted Boltzmann machine Assisted Secure Serverless Edge System for Internet of Medical Things

A Lakhan, M Mohammed, A Rashid, S Kadry, K Hameed Abdulkareem, J Nedoma, R Martinek, I Razzak

(2022), Vol. PP, pp. 1-11, IEEE Journal of Biomedical and Health Informatics, Piscataway, N.J., C1-1

Identifying Rising Stars via Supervised Machine Learning

A Daud, N Islam, X Li, I Razzak, M Hayat

(2022), IEEE Transactions on Computational Social Systems, C1-1

A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications

J Anajemba, C Iwendi, I Razzak, J Ansere, I Okpalaoguchi

(2022), Vol. 18, pp. 6445-6454, IEEE Transactions on Industrial Informatics, C1-1

Future smart cities requirements, emerging technologies, applications, challenges, and future aspects

A Javed, F Shahzad, S Rehman, Y Zikria, I Razzak, Z Jalil, G Xu

(2022), Vol. 129, pp. 1-49, Cities, Amsterdam, The Netherlands, C1-1

Width-wise vessel bifurcation for improved retinal vessel segmentation

Tariq Khan, Mohammad Khan, Naveed Rehman, Khuram Naveed, Imran Afridi, Syed Naqvi, Imran Raazak

(2022), Vol. 71, pp. 1-11, Biomedical Signal Processing and Control, Amsterdam, The Netherlands, C1-1

Tracking Anti-Vax Social Movement Using AI based Social Media Monitoring

Fahim Sufi, Imran Razzak, Ibrahim Khalil

(2022), pp. 1-10, IEEE Transactions on Technology and Society, Piscataway, N.J., C1-1

Spontaneous Facial Behavior Analysis using Deep Transformer Based Framework for Child-Computer Interaction

Abdul Qayyum, Imran Razzak, M Tanveer, Moona Mazher

(2022), pp. 1-19, ACM Transactions on Multimedia Computing Communications and Applications, New York, N.Y., C1-1

Trustworthy and Reliable Deep Learning-Based Cyberattack Detection in Industrial IoT

F Khan, R Alturki, M Rehman, S Mastorakis, I Razzak, S Shah

(2022), pp. 1-9, IEEE Transactions on Industrial Informatics, Piscataway, N.J., C1-1

Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction

M Asim, M Ibrahim, M Malik, I Razzak, A Dengel, S Ahmed

(2022), Complex and Intelligent Systems, C1

Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems

M Akter, N Moustafa, T Lynar, I Razzak

(2022), Vol. 26, pp. 5805-5816, IEEE Journal of Biomedical and Health Informatics, United States, C1-1

Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training

P Khan, S Siddiqui, I Razzak, A Dengel, S Ahmed

(2022), Vol. 10, pp. 87900-87910, IEEE Access, C1-1

Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management

M Rahman, M Mukta, A Asyhari, N Moustafa, M Patwary, A Yousuf, I Razzak, B Gupta

(2022), pp. 1-10, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1-1

Prompt Deep Light-weight Vessel Segmentation Network (PLVS-Net)

M Arsalan, T Khan, S Naqvi, M Nawaz, I Razzak

(2022), pp. 1-9, IEEE/ACM Transactions on Computational Biology and Bioinformatics, United States, C1-1

Conv-ERVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis

R Sharma, T Goel, M Tanveer, P Suganthan, I Razzak, R Murugan

(2022), Vol. PP, pp. 1-9, IEEE Journal of Biomedical and Health Informatics, United States, C1-1

DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks

N Moustafa, I Khan, M Hassanin, D Ormrod, D Pi, I Razzak, J Slay

(2022), pp. 1-8, IEEE Transactions on Industrial Informatics, C1-1

Dynamic Hypersphere Embedding Scale Against Adversarial Attacks

M Hassanin, N Moustafa, I Razzak, M Tanveer, D Ormrod, J Slay

(2022), IEEE Transactions on Engineering Management, C1-1

A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection using Brain MRIs

Imran Razzak, Saeeda Naz, Hamid Alinejad-Rokny, T Nguyen, F Khalifa

(2022), Vol. PP, pp. 1-9, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Piscataway, N.J., C1-1

3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction

Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Nguyen, Domenec Puig, Fatemeh Vafaee

(2022), pp. 1-9, IEEE Journal of Biomedical and Health Informatics, C1

Applying deep neural networks for user intention identification

A Khattak, A Habib, M Asghar, F Subhan, I Razzak, A Habib

(2021), Vol. 25, pp. 2191-2220, Soft Computing, C1

A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter

U Naseem, I Razzak, P Eklund

(2021), Vol. 80, pp. 35239-35266, Multimedia Tools and Applications, C1

Discovering dynamic adverse behavior of policyholders in the life insurance industry

M Islam, S Liu, R Biddle, I Razzak, X Wang, P Tilocca, G Xu

(2021), Vol. 163, pp. 1-10, Technological forecasting and social change, Amsterdam, The Netherlands, C1

Ground target finding mechanism for unmanned aerial vehicles to secure crop field data

M Uddin, M Ayaz, A Mansour, E Aggoune, A El Fawal, I Razzak

(2021), Vol. 32, Transactions on Emerging Telecommunications Technologies, C1

Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease

Iqra Kamran, Saeeda Naz, Muhammad Razzak, Muhammad Imran

(2021), Vol. 117, pp. 234-244, Future generation computer systems, Amsterdam, The Netherlands, C1

An efficient secure data compression technique based on chaos and adaptive Huffman coding

M Usama, Q Malluhi, N Zakaria, I Razzak, W Iqbal

(2021), Vol. 14, pp. 2651-2664, Peer-to-Peer Networking and Applications, C1

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis

U Naseem, I Razzak, M Khushi, P Eklund, J Kim

(2021), Vol. 8, pp. 976-988, IEEE Transactions on Computational Social Systems, C1

The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges

S Khan, U Naseem, H Siraj, I Razzak, M Imran

(2021), Vol. 32, Transactions on Emerging Telecommunications Technologies, C1

3D shallow deep neural network for fast and precise segmentation of left atrium

Asma Kausar, Imran Razzak, Mohammad Shapiai, Amin Beheshti

(2021), pp. 1-11, Multimedia Systems, Berlin, Germany, C1

Patch-CNN: Deep learning for logo detection and brand recognition

Waqas Yousaf, Arif Umar, Syed Shirazi, Zakir Khan, Imran Razzak, Mubina Zaka

(2021), Vol. 40, pp. 3849-3862, Journal of Intelligent & Fuzzy Systems, Amsterdam, The Netherlands, C1-1

Deep transfer learning for alzheimer neurological disorder detection

A Ashraf, S Naz, S Shirazi, I Razzak, M Parsad

(2021), Vol. 80, pp. 30117-30142, Multimedia Tools and Applications, C1

Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery

Abdul Qayyum, Imran Razzak, Aamir Malik, Sajid Anwar

(2021), Vol. 168, pp. 1-9, Technological Forecasting and Social Change, Amsterdam, The Netherlands, C1

Cloud-connected flying edge computing for smart agriculture

M Uddin, M Ayaz, A Mansour, E Aggoune, Z Sharif, I Razzak

(2021), Vol. 14, pp. 3405-3415, Peer-to-Peer Networking and Applications, Berlin, Germany, C1

Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis

A Qayyum, I Razzak, M Tanveer, A Kumar

(2021), pp. 1-21, Annals of Operations Research, Berlin, Germany, C1

Hot-spot zone detection to tackle COVID19 spread by fusing the traditional machine learning and deep learning approaches of computer vision

Muhammad Khan, Muhammad Khan, Tanzila Saba, Muhammad Razzak, Amjad Rehman, Saeed Bahaj

(2021), Vol. 9, pp. 1-11, IEEE Access, Piscataway, N.J., C1

A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models

Usman Naseem, Imran Razzak, Shah Khan, Mukesh Prasad

(2021), Vol. 20, pp. 1-35, ACM Transactions on Asian and Low-Resource Language Information Processing, New York, N.Y., C1

Machine learning for 5G security: Architecture, recent advances, and challenges

A Afaq, N Haider, M Baig, K Khan, M Imran, I Razzak

(2021), Vol. 123, pp. 1-9, Ad Hoc Networks, Amsterdam, The Netherlands, C1

A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System

Z Zhou, A Gaurav, B Gupta, M Lytras, I Razzak

(2021), pp. 1-10, IEEE Transactions on Intelligent Transportation Systems, New York, NY, C1

Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing

Z Sharif, L Jung, I Razzak, M Alazab

(2021), pp. 1-15, IEEE Internet of Things Journal, Piscataway, NJ, C1

Lightweight Face Anti-Spoofing Network for Telehealth Applications

J Lin, H Lin, J Dy, J Chen, M Tanveer, I Razzak, K Hua

(2021), pp. 1-9, IEEE Journal of Biomedical and Health Informatics, New York, NY, C1

A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

B Gupta, K Yadav, I Razzak, K Psannis, A Castiglione, X Chang

(2021), Vol. 175, pp. 47-57, Computer Communications, Amsterdam, The Netherlands, C1

Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks

D Sharma, T Dhankhar, G Agrawal, S Singh, D Gupta, J Nebhen, I Razzak

(2021), Vol. 121, pp. 1-9, Ad Hoc Networks, Amsterdam, The Netherlands, C1

A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET

M Ahmed, N Moustafa, A Akhter, I Razzak, E Surid, A Anwar, A Shah, A Zengin

(2021), pp. 1-10, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1

Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms

Riaz Ahmad, Saeeda Naz, Muhammad Razzak

(2021), Vol. 152, pp. 93-99, Pattern Recognition Letters, Amsterdam, The Netherlands, C1

Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions

A Qayyum, M Mazhar, I Razzak, M Bouadjenek

(2021), Neural Computing and Applications, England, C1

One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data

I Razzak, N Moustafa, S Mumtaz, G Xu

(2021), pp. 1-22, International Journal of Intelligent Systems, Chichester, Eng., C1

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems

M Abdel-Basset, N Moustafa, H Hawash, I Razzak, K Sallam, O Elkomy

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

A deep learning-based framework for automatic brain tumors classification using transfer learning

A Rehman, S Naz, M Razzak, F Akram, M Imran

(2020), Vol. 39, pp. 757-775, Circuits, systems and signal processing, Cham, Switzerland, C1-1

Big data analytics for preventive medicine

M Razzak, M Imran, G Xu

(2020), Vol. 32, pp. 4417-4451, Neural computing and applications, Cham, Switzerland, C1-1

Refining Parkinson's neurological disorder identification through deep transfer learning

A Naseer, M Rani, S Naz, M Razzak, M Imran, G Xu

(2020), Vol. 32, pp. 839-854, Neural computing and applications, Cham, Switzerland, C1-1

Integrating joint feature selection into subspace learning: a formulation of 2DPCA for outliers robust feature selection

Imran Razzak, Raghib Saris, Michael Blumenstein, Guandong Xu

(2020), Vol. 121, pp. 441-451, Neural networks, Amsterda, The Netherlands, C1-1

Deep optical character recognition: a case of Pashto language

Shizza Zahoor, Saeeda Naz, Naila Khan, Muhammad Razzak

(2020), Vol. 29, pp. 1-18, Journal of electronic imaging, Bellingham, Wash., C1

Deep OCR for Arabic script-based language like Pastho

S Naz, N Khan, S Zahoor, M Razzak

(2020), Vol. 37, Expert Systems, C1

Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data

Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu

(2020), Vol. 112, pp. 715-723, Future generation computer systems, Amsterdam, The Netherlands, C1

Transformer based deep intelligent contextual embedding for twitter sentiment analysis

Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran

(2020), Vol. 113, pp. 58-69, Future generation computer systems, Amsterdam, The Netherlands, C1

A Two-Phase Approach for Semi-Supervised Feature Selection

Amit Saxena, Shreya Pare, Mahendra Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad

(2020), Vol. 13, pp. 1-20, Algorithms, Basel, Switzerland, C1

Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification

Muhammad Razzak, S Naz

(2020), pp. 1-10, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Piscataway, N.J., C1

A novel dataset for English-Arabic scene text recognition (EASTR)-42K and its evaluation using invariant feature extraction on detected extremal regions

S Ahmed, S Naz, M Razzak, R Yusof

(2019), Vol. 7, pp. 19801-19820, IEEE access, Piscataway, N.J., C1-1

Writer identification using machine learning approaches: a comprehensive review

A Rehman, S Naz, M Razzak

(2019), Vol. 78, pp. 10889-10931, Multimedia tools and applications, Cham, Switzerland, C1-1

Arabic cursive text recognition from natural scene images

S Ahmed, S Naz, M Razzak, R Yusof

(2019), Vol. 9, Applied sciences, Basel, Switzerland, C1-1

Efficient brain tumor segmentation with multiscale two-pathway-group conventional neural networks

M Razzak, M Imran, G Xu

(2019), Vol. 23, pp. 1911-1919, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1-1

Automatic visual features for writer identification: a deep learning approach

A Rehman, S Naz, M Razzak, I Hameed

(2019), Vol. 7, pp. 17149-17157, IEEE access, Piscataway, N.J., C1-1

Handwritten Urdu character recognition using one-dimensional BLSTM classifier

S Ahmed, S Naz, S Swati, M Razzak

(2019), Vol. 31, pp. 1143-1151, Neural computing and applications, Cham, Switzerland, C1-1

Enhanced heartbeat graph for emerging event detection on Twitter using time series networks

Z Saeed, R Abbasi, I Razzak, O Maqbool, A Sadaf, G Xu

(2019), Vol. 136, pp. 115-132, Expert systems with applications, Amsterdam, The Netherlands, C1-1

Multiclass support matrix machines by maximizing the inter-class margin for single trial EEG classification

I Razzak, M Blumenstein, G Xu

(2019), Vol. 27, pp. 1117-1127, IEEE transactions on neural systems and rehabilitation engineering, Piscataway, N.J., C1-1

Evaluation of handwritten Urdu text by integration of MNIST dataset learning experience

Saad Ahmed, Ibrahim Hameed, Saeeda Naz, Muhammad Razzak, Rubiyah Yusof

(2019), Vol. 7, pp. 153566-153578, IEEE access, Piscataway, N.J., C1-1

What's happening around the world? A survey and framework on event detection techniques on Twitter

Zafar Saeed, Rabeeh Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Aljohani, Guandong Xu

(2019), Vol. 17, pp. 279-312, Journal of grid computing, Cham, Switzerland, C1-1

Robust sparse representation and multiclass support matrix machines for the classification of motor imagery EEG signals

Imran Razzak, Ibrahim A. Hameed, Guandong Xu

(2019), Vol. 7, IEEE journal of translational engineering in health and medicine, Piscataway, N.J., C1-1

Extreme learning machine based microscopic red blood cells classification

S Shirazi, A Umar, N Haq, S Naz, M Razzak, A Zaib

(2018), Vol. 21, pp. 691-701, Cluster computing, Cham, Switzerland, C1-1

Statistical features extraction for character recognition using recurrent neural network

S Naz, A Umar, S Ahmed, R Ahmad, S Shirazi, M Razzak, A Zaman

(2018), Vol. 34, pp. 47-53, Pakistan journal of statistics, Lahore, Pakistan, C1-1

Urdu Nastaliq recognition using convolutional-recursive deep learning

S Naz, A Umar, R Ahmad, I Siddiqi, S Ahmed, M Razzak, F Shafait

(2017), Vol. 243, pp. 80-87, Neurocomputing, Amsterdam, The Netherlands, C1-1

Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features

S Naz, A Umar, R Ahmad, S Ahmed, S Shirazi, M Razzak

(2017), Vol. 28, pp. 219-231, Neural computing and applications, London, Eng., C1-1

UCOM offline dataset-an Urdu handwritten dataset generation

S Bin Ahmed, S Naz, S Swati, I Razzak, A Umar, A Ali Khan

(2017), Vol. 14, pp. 239-245, The international Arab journal of information technology, Zarqa, Jordan, C1-1

Urdu Nasta'liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks

S Naz, A Umar, R Ahmed, M Razzak, S Rashid, F Shafait

(2016), Vol. 5, pp. 1-16, SpringerPlus, London, Eng., C1-1

An ontology-based system to predict hospital readmission within 30 days

H Ghamdi, R Alshammari, M Razzak

(2016), Vol. 9, pp. 236-244, International journal of healthcare management, Abingdon, Eng., C1-1

Developing ontology for RFID based infant protection system

A Al Asaimi, M Razzak, R Alshammari

(2016), Vol. 22, pp. 2759-2763, Advanced Science Letters, Stevenson Ranch, Calif., C1-1

Blood bank control system: An ontology

E Al Moamary, R Alshammari, M Razzak

(2016), Vol. 22, pp. 2822-2826, Advanced Science Letters, Stevenson Ranch, Calif., C1-1

Efficient leukocyte segmentation and recognition in peripheral blood image

S Shirazi, A Umar, S Naz, M Razzak

(2016), Vol. 24, pp. 335-347, Technology and health care, Amsterdam, The Netherlands, C1-1

Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks

S Naz, A Umar, R Ahmad, S Ahmed, S Shirazi, I Siddiqi, M Razzak

(2016), Vol. 177, pp. 228-241, Neurocomputing, Amsterdam, The Netherlands, C1-1

Evaluation of cursive and non-cursive scripts using recurrent neural networks

S Ahmed, S Naz, M Razzak, S Rashid, M Afzal, T Breuel

(2016), Vol. 27, pp. 603-613, Neural computing and applications, London, Eng., C1-1

Segmentation techniques for recognition of Arabic-like scripts: a comprehensive survey

S Naz, A Umar, S Shirazi, S Ahmed, M Razzak, I Siddiqi

(2016), Vol. 21, pp. 1225-1241, Education and information technologies, New York, N.Y., C1-1

Lexicon reduction for Urdu/Arabic script based character recognition: A multilingual OCR

Saeeda Naz, Arif Umar, Muhammad Razzak

(2016), Vol. 35, pp. 209-216, Mehran University Research Journal Of Engineering & Technology, Jamshoro, Pakistan, C1-1

Content-based image retrieval using texture color shape and region

Syed Shirazi, Arif Umar, Saeeda Naz, Noor Khan, Muhammad Razzak, Bandar AlHaqbani

(2016), Vol. 7, pp. 418-426, International journal of advanced computer science and applications, New York, N.Y., C1-1

Adaptive filtering algorithms for channel equalization in wireless communication

L Mahmood, S Shirazi, S Naz, S Shirazi, M Razzak, A Umar, S Ashraf

(2015), Vol. 8, Indian journal of science and technology, Chennai, India, C1-1

Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling

M Razzak, B Alhaqbani

(2015), Vol. 26, pp. 1117-1127, Neural computing and applications, Cham, Switzerland, C1-1

Automatic detection of malarial parasite using microscopic blood images

M Razzak, B Alhaqbani

(2015), Vol. 5, pp. 591-598, Journal of medical imaging and health informatics, Valencia, Calif., C1-1

A hybrid approach for NER system for Scarce Resourced Language-URDU: Integrating n-gram with rules and gazetteers

Saeeda Naz, Arif Umar, Muhammad Razzak

(2015), Vol. 34, pp. 349-358, Mehran University Research Journal Of Engineering & Technology, Jamshoro, Pakistan, C1-1

Challenges in baseline detection of arabic script based languages

S Naz, M Razzak, K Hayat, M Anwar, S Khan

(2014), Vol. 542, pp. 181-196, Studies in computational intelligence, Cham, Switzerland, C1-1

Bio-inspired multilayered and multilanguage Arabic script character recognition system

M Razzak, S Husain, A Mirza, M Khan

(2012), Vol. 8, pp. 2681-2691, International Journal of Innovative Computing, Information and Control, C1-1

Fuzzy based preprocessing using fusion of online and offline trait for online Urdu script based languages character recognition

M Razzak, S Husain, A Mirza, A Belaïd

(2012), Vol. 8, pp. 3149-3161, International Journal of Innovative Computing, Information and Control, C1-1

Efficient distributed face recognition in wireless sensor network

M Razzak, B Elmogy, M Khan, K Alghathbar

(2012), Vol. 8, pp. 2811-2822, International Journal of Innovative Computing, Information and Control, C1-1

Handling diacritical marks for online Arabic script based languages character recognition using fuzzy c-mean clustering and relative position

M Razzak, S Husain, M Khan, M Sher

(2011), Vol. 14, pp. 157-165, Information, C1-1

Fingerprint classification using PCA, LDA, L-LDA and BPN

M Khalil, M Razzak, M Khan

(2011), Vol. 14, pp. 3313-3323, Information, C1-1

Energy efficient distributed face recognition in wireless sensor network

M Razzak, M Khan, K Alghathbar, J Park

(2011), Vol. 60, pp. 571-582, Wireless Personal Communications, C1-1

Multimodal biometric recognition based on fusion of low resolution face and finger veins

M Razzak, M Khan, K Alghathbar, R Yusof

(2011), Vol. 7, pp. 4679-4689, International Journal of Innovative Computing, Information and Control, C1

HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition

M Razzak, F Anwar, S Husain, A Belaid, M Sher

(2010), Vol. 23, pp. 914-923, Knowledge-Based Systems, C1

Multimodal face and finger veins biometric authentication

M Razzak, R Yusof, M Khalid

(2010), Vol. 5, pp. 2529-2534, Scientific Research and Essays, Nairobi, Kenya, C1-1