Dr Shamsul Huda

Human emotion recognition using deep belief network architecture

Mohammad Hassan, Md Alam, Md Uddin, Shamsul Huda, Ahmad Almogren, Giancarlo Fortino

(2019), Vol. 51, pp. 10-18, Information fusion, Amsterdam, The Netherlands, C1

Automatic extraction and integration of behavioural indicators of malware for protection of cyber-physical networks

S Huda, J Abawajy, B Al-Rubaie, L Pan, M Hassan

(2019), Vol. 101, pp. 1247-1258, Future generation computer systems, Amsterdam, The Netherlands, C1

Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction

M Hassan, S Huda, J Yearwood, H Jelinek, A Almogren

(2018), Vol. 41, pp. 105-118, Information fusion, Amsterdam, The Netherlands, C1

A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection

S Huda, R Islam, J Abawajy, J Yearwood, M Hassan, G Fortino

(2018), Vol. 83, pp. 193-207, Future generation computer systems, Amsterdam, The Netherlands, C1

Malware threats and detection for industrial mobile-IoT networks

S Sharmeen, S Huda, J Abawajy, W Ismail, M Hassan

(2018), Vol. 6, pp. 15941-15957, IEEE access, Piscataway, N.J., C1

An ensemble oversampling model for class imbalance problem in software defect prediction

S Huda, K Liu, M Abdelrazek, A Ibrahim, S Alyahya, H Al-Dossari, S Ahmad

(2018), Vol. 6, pp. 24184-24195, IEEE access, Piscataway, N.J., C1

Human activity recognition from body sensor data using deep learning

Mohammad Hassan, Shamsul Huda, Md Uddin, Ahmad Almogren, Majed Alrubaian

(2018), Vol. 42, pp. 1-8, Journal of medical systems, New York, N.Y., C1

A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network

S Huda, S Miah, J Yearwood, S Alyahya, H Al-Dossari, R Doss

(2018), Vol. 120, pp. 23-31, Journal of parallel and distributed computing, Amsterdam, The Netherlands, C1

Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks

Shamsul Huda, John Yearwood

(2018), Vol. 71, pp. 66-77, Applied soft computing, Amsterdam, The Netherlands, C1

Identifying cyber threats to mobile-IoT applications in edge computing paradigm

jemal Abawajy, M Huda, Shaila Sharmeen, Mohammad Hassan, Ahmad Almogren

(2018), Vol. 89, pp. 525-538, Future generation computer systems, Amsterdam, The Netherlands, C1

Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data

M Huda, S Miah, M Hasaan, R Islam, J Yearwood, M Alrubaian, A Almogren

(2017), Vol. 379, pp. 211-228, Information sciences, Amsterdam, The Netherlands, C1

A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression

S Huda, J Abawajy, M Abdollahian, R Islam, J Yearwood

(2017), Vol. 29, pp. 1-18, Concurrency Computation, Chichester, Eng., C1

Exponentially weighted control charts to monitor multivariate process variability for high dimensions

N Gunaratne, M Abdollahian, S Huda, J Yearwood

(2017), Vol. 55, pp. 4948-4962, International journal of production research, Abingdon, Eng., C1

A parallel framework for software defect detection and metric selection on cloud computing

M Ali, S Huda, J Abawajy, S Alyahya, H Al-Dossari, J Yearwood

(2017), Vol. 20, pp. 2267-2281, Cluster computing, New York, N.Y., C1

A framework for software defect prediction and metric selection

S Huda, S Alyahya, M Mohsin Ali, S Ahmad, J Abawajy, H Al-Dossari, J Yearwood

(2017), Vol. 6, pp. 2844-2858, IEEE access, Piscataway, N.J., C1

Hybrids of support vector machine wrapper and filter based framework for malware detection

S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood

(2016), Vol. 55, pp. 376-390, Future generation computer systems, Amsterdam, The Netherlands, C1

A hybrid feature selection with ensemble classification for imbalanced healthcare data: a case study for brain tumor diagnosis

S Huda, J Yearwood, H Jelinek, M Hassan, G Fortino, M Buckland

(2016), Vol. 4, pp. 9145-9154, IEEE Access, Piscataway, N.J., C1

A hybrid wrapper-filter approach for malware detection

M Alazab, S Huda, J Abawajy, R Islam, J Yearwood, S Venkatraman, R Broadhurst

(2014), Vol. 9, pp. 2878-2891, Journal of networks, Oulu, Finland, C1

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process

S Huda, M Abdollahian, M Mammadov, J Yearwood, S Ahmed, I Sultan

(2014), Vol. 237, pp. 857-870, European journal of operational research, Amsterdam, The Netherlands, C1-1

Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden markov model for signal modeling

S Huda, J Yearwood, R Togneri

(2014), Vol. 44, pp. 1962-1977, IEEE transactions on cybernetics, Piscataway, United States, C1-1

An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy

A Stranieri, J Abawajy, A Kelarev, S Huda, M Chowdhury, H Jelinek

(2013), Vol. 58, pp. 185-193, Artificial Intelligence in Medicine, C1

Performance evaluation of multivariate non-normal process using metaheuristic approaches

S Ahmad, M Abdollahian, M Bhatti, S Huda, J Yearwood

(2012), Vol. 20, pp. 299-315, Journal of applied statistical science, Hauppage, N.Y., C1-1