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ORCIDJohn Yearwood
- > Home > Persons > John Yearwood
Publications
- 2018
[j61]Md. Shamsul Huda
, Sultan Alyahya, Md. Mohsin Ali, Shafiq Ahmad, Jemal H. Abawajy, Hmood Al-Dossari, John Yearwood:
A Framework for Software Defect Prediction and Metric Selection. IEEE Access 6: 2844-2858 (2018)- [j60]Md. Shamsul Huda, John Yearwood, Mohammad Mehedi Hassan, Ahmad Almogren:
Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks. Appl. Soft Comput. 71: 66-77 (2018) - [j59]Md. Shamsul Huda, Md. Rafiqul Islam, Jemal H. Abawajy, John Yearwood, Mohammad Mehedi Hassan, Giancarlo Fortino:
A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection. Future Gener. Comput. Syst. 83: 193-207 (2018) - [j58]Mohammad Mehedi Hassan, Md. Shamsul Huda, John Yearwood, Herbert F. Jelinek, Ahmad Almogren:
Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction. Inf. Fusion 41: 105-118 (2018) - [j57]Md. Shamsul Huda, Md. Suruz Miah, John Yearwood, Sultan Alyahya, Hmood Al-Dossari, Robin Doss:
A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network. J. Parallel Distributed Comput. 120: 23-31 (2018) - 2017
- [j55]Md. Mohsin Ali, Md. Shamsul Huda, Jemal H. Abawajy, Sultan Alyahya, Hmood Al-Dossari, John Yearwood:
A parallel framework for software defect detection and metric selection on cloud computing. Clust. Comput. 20(3): 2267-2281 (2017) - [j54]Md. Shamsul Huda, Jemal H. Abawajy, Mali Abdollahian, Md. Rafiqul Islam, John Yearwood:
A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression. Concurr. Comput. Pract. Exp. 29(23) (2017) - [j51]Nadeera Gnan Tilshan Gunaratne, Malihe Akhavan Abdollahian, Shamsul Huda, John Yearwood:
Exponentially weighted control charts to monitor multivariate process variability for high dimensions. Int. J. Prod. Res. 55(17): 4948-4962 (2017) - [j50]Md. Shamsul Huda, Md. Suruz Miah, Mohammad Mehedi Hassan, Md. Rafiqul Islam, John Yearwood, Majed A. AlRubaian, Ahmad Almogren:
Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data. Inf. Sci. 379: 211-228 (2017) - 2016
- [j46]Md. Shamsul Huda, John Yearwood, Herbert F. Jelinek, Mohammad Mehedi Hassan, Giancarlo Fortino, Michael Buckland:
A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis. IEEE Access 4: 9145-9154 (2016) - [j45]Md. Shamsul Huda, Jemal H. Abawajy, Mamoun Alazab, Mali Abdollahian, Md. Rafiqul Islam, John Yearwood:
Hybrids of support vector machine wrapper and filter based framework for malware detection. Future Gener. Comput. Syst. 55: 376-390 (2016) - 2014
- [j40]Md. Shamsul Huda, Mali Abdollahian, Musa A. Mammadov, John Yearwood, Shafiq Ahmad, Ibrahim A. Sultan:
A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process. Eur. J. Oper. Res. 237(3): 857-870 (2014) - [j38]Mamoun Alazab, Md. Shamsul Huda, Jemal H. Abawajy, Md. Rafiqul Islam, John Yearwood, Sitalakshmi Venkatraman, Roderic Broadhurst:
A Hybrid Wrapper-Filter Approach for Malware Detection. J. Networks 9(11): 2878-2891 (2014) - [j36]Md. Shamsul Huda, John Yearwood, Roberto Togneri:
Hybrid Metaheuristic Approaches to the Expectation Maximization for Estimation of the Hidden Markov Model for Signal Modeling. IEEE Trans. Cybern. 44(10): 1962-1977 (2014) - 2011
- [c64]Md. Shamsul Huda, John Yearwood, Andrew Stranieri:
Hybrid Wrapper-filter Aapproaches for Input Feature Selection using Maximum relevance-Minimum redundancy and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA). ACSC 2011: 43-52 - [c61]Subhasis Mukherjee, John Yearwood, Peter Vamplew, Md. Shamsul Huda:
Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem. SNPD 2011: 24-30 - [c60]Subhasis Mukherjee, Md. Shamsul Huda, John Yearwood:
A Reinforcement Learning Approach with Spline-Fit Object Tracking for AIBO Robot's High Level Decision Making. SNPD (Selected Papers) 2011: 169-183 - 2010
- [c54]Md. Shamsul Huda, John Yearwood, Ron Borland:
Cluster Based Rule Discovery Model for Enhancement of Government's Tobacco Control Strategy. NSS 2010: 383-390 - [c53]Md. Shamsul Huda, John Yearwood, Andrew Stranieri:
Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum Relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA). NSS 2010: 442-449 - [c52]Md. Shamsul Huda, John Yearwood, Ron Borland:
Smokers' Characteristics and Cluster Based Quitting Rule Discovery Model for Enhancement of Government's Tobacco Control Systems. PACIS 2010: 26 - 2009
- [j17]Md. Shamsul Huda, John Yearwood, Roberto Togneri:
A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model. Pattern Recognit. Lett. 30(14): 1301-1309 (2009) - [j16]Md. Shamsul Huda, John Yearwood, Roberto Togneri:
A Constraint-Based Evolutionary Learning Approach to the Expectation Maximization for Optimal Estimation of the Hidden Markov Model for Speech Signal Modeling. IEEE Trans. Syst. Man Cybern. Part B 39(1): 182-197 (2009) - 2007
- [c36]Md. Shamsul Huda, John Yearwood, Ranadhir Ghosh:
A Hybrid Algorithm for Estimation of the Parameters of Hidden Markov Model based Acoustic Modeling of Speech Signals using Constraint-Based Genetic Algorithm and Expectation Maximization. ACIS-ICIS 2007: 438-443 - 2006
- [c22]Md. Shamsul Huda, Ranadhir Ghosh, John Yearwood:
A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals. ICDM 2006: 416-430
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