Publications

Untitled Page

Al-Mamun, M., Ravenhill, L., Srisukkham, W., Hossain, M.A., Fall, C., Ellis, V. and Bass, R. 2016. Effects of Noninhibitory Serpin Maspin on the Actin Cytoskeleton: A Quantitative Image Modeling Approach. Microscopy and Microanalysis, Volume 22, Issue 2, pp. 394-409. https://dx.doi.org/10.1017/S1431927616000520

Wonders, M., Ghassemlooy, Z. and Hossain, M.A. 2016. Training with synthesised data for disaggregated event classification at the water meter. Expert Systems with Applications, 43, pp 15-22.

Al-Mamun, M.A., Farid, D.M., Ravenhil, L., Hossain, M.A. Fall, C. and Bass, R. 2016. An in silico model to demonstrate the effects of Maspin on cancer cell dynamics. Journal of Theoretical Biology, 388, pp 37-49.

Zhang, Y., Zhang, L., Neoh, S.C., Mistry, K., and Hossain, M.A. 2015. Intelligent affect regression for bodily expressions using hybrid particle swarm optimization and adaptive ensembles. Expert Systems with Applications, 42(22), 8678–8697. http://doi.org/10.1016/j.eswa.2015.07.022

Zhang, L., Mistry, K., Jiang, M., Neoh, S.C. and Hossain, M.A. 2015. Adaptive facial point detection and emotion recognition for a humanoid robot. Computer Vision and Image Understanding, Volume 140, pp 93–114. http://dx.doi.org/10.1016/j.cviu.2015.07.007

Dahal, K., Almejalli, K., Hossain, M.A. and Chen, W. 2015. GA-Based Learning for Rule Identification in Fuzzy Neural Networks. Applied Soft Computing, 35, pp. 605–17. doi:10.1016/j.asoc.2015.06.046.

Neoh, S.C., Zhang, L., Mistry, K., Hossain, M.A., Lim, C.P., Aslam, N., and Kinghorn, P. 2015. Intelligent facial emotion recognition using a layered encoding cascade optimization model. Applied Soft Computing, 34, 72–93. http://doi.org/10.1016/j.asoc.2015.05.006

Zhang, Y., Zhang, L., and Hossain, M. A. 2015. Adaptive 3D facial action intensity estimation and emotion recognition. Expert Systems with Applications, 42(3), pp. 1446–1464. http://doi.org/10.1016/j.eswa.2014.08.042

Neoh, S.C., Srisukkham, W., Zhang, L., Todryk, S., Greystoke, B., Peng L.C., Hossain, M.A., and Aslam, N. 2015. An Intelligent Decision Support System for Leukaemia Diagnosis Using Microscopic Blood Images. Nature Scientific Reports, vol. 5. Nature Publishing Group: 14938. doi:10.1038/srep14938

Bourouis, M. Feham, Hossain, M.A. and Zhang, L., 2014. An Intelligent Mobile based Decision Support System for Retinal Disease Diagnosis. Decision Support Systems, Elsevier Science, 59, pp.341-350

Farid, D.M., Zhang, L., Rahman, C.M., Hossain, M.A. and Strachen, R., 2014. Hybrid Decision Tree and Naïve Bayes Classifiers for Multi-class Classification Tasks. Expert Systems with Applications, Elsevier Science, 41(4), pp.1937-1946. http://dx.doi.org/10.1016/j.eswa.2013.08.089

Lwin, K., Qu, R., & Kendall, G. (2014). A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization. Applied Soft Computing, 24, 757-772. http://dx.doi.org/10.1016/j.asoc.2014.08.026

Abuhassan, K., Coyle, D., Belatreche, A. and Maguire, L. 2014. Compensating for Synaptic Loss in Alzheimer’s Disease. Journal of Computational Neuroscience 36 (1): 19–37. DOI: 10.1007/s10827-013-0462-8.

Borisyuk, R., Chik, D., Kazanovich, Y. and da-Silva-Gomes J., 2013. Spiking neural network model for memorizing sequences with forward and backward recall. BioSystems, 112(3), pp.214-223.

Lwin, K. and Qu, R.. 2013. A Hybrid Algorithm for Constrained Portfolio Selection Problem. Applied Intelligence, 39(2): 1- 16.

Chik, D., 2013. Theta-alpha cross-frequency synchronization facilitates working memory control - a modeling study. Springer Plus, 2(14), pp.1-10.

Al-Mamun, M.A., Hossain, M.A., Brown, L.J., Fall, C., Wagstaff, L. and Bass, R., 2013. A Hybrid Computational Model for the Effects of Maspin on Cancer Cell Dynamics. Journal of Theoretical Biology, 337, pp.150-160.

Chik, D., 2012. Does dynamical synchronization among neurons facilitate learning and enhance task performance? Journal of Computational Neuroscience, 33(1), pp.169-177.

Kazmi,N., Hossain, M.A. and Phillips, R., 2012. Avascular Tumour Growth Dynamics and the Constraints of Protein Binding for Drug Transportation. Journal of Theoretical Biology, 313(21), 2012, op.142-152. http://dx.doi.org/10.1016/j.jtbi.2012.07.026.

Dahal, K.P., Almejali, K. and Hossain, M.A., 2012. Decision Support for Coordinated Road Traffic Control Actions. Decision Support Systems, doi: 10.1016/j.dss.2012.10.022.

Mohammed Al-Mamun, Lorna Ravenhill, Worawut Srisukkham, Alamgir Hossain, Charles Fall, Vincent Ellis, Rosemary Bass. 2016. Effects of Noninhibitory Serpin Maspin on the Actin Cytoskeleton: A Quantitative Image Modeling Approach. Microscopy and microanalysis, 22(2), pp 394-409.

Zhang, L., Mistry, K., Jiang, M., Chin Neoh, S., & Hossain, M. A. 2015. Adaptive Facial Point Detection and Emotion Recognition for a Humanoid Robot. Computer Vision and Image Understanding, 140, 93–114. http://doi.org/10.1016/j.cviu.2015.07.007.

Abuhassan, Kamal, Damien Coyle, and Liam Maguire. 2014. Compensating for Thalamocortical Synaptic Loss in Alzheimer’s Disease. Frontiers in Computational Neuroscience, Vol 8. doi:10.3389/fncom.2014.00065.

Chik, D., 2014. Compact neural network: parameter reduction using sign combinations. ICIC Express Letters, 8(8), pp.2105-2111.

Alam, M.S., Hossain, M.A., Algoul, S., Majumder, M.A., Al-Mamun, M.A., Sexton, G. and Phillips, R., 2013. Multi-Objective Multi-drug Scheduling Schemes for Cell Cycle Specific Cancer Treatment. Journal of Computers and Chemical Engineering, doi: 10.1016/j.compchemeng.2013.05.02.

Kazmi, N., Hossain, M.A. and Phillips, R., 2012. A Hybrid Cellular Automaton Model of Solid Tumour Growth and Bioreductive Drug Transport. IEEE Transaction on Computational Biology and Bioinformatics, 29, doi: 10.1109/TCBB.2012.118.

Kamal, A., Coyle, D. & Maguire. L.P. 2012. Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer’s Disease Using Heterogeneous Neuronal Models. IEEE Transactions on Biomedical Engineering 59: 890–96. doi:10.1109/TBME.2011.2181843.

Hossen, Z., Chik, D., Chakraborty, A. & Hossain, A.. 2015. Real-time Mobile Enabled Scheme for Virtual Spectacle Frame Selection. SKIMA2015, paper id: 62.

Smadi, S., Aslam, N., Zhang, L., Alasem, R. & Hossain, M.A. 2015. Detection of phishing emails using data mining algorithms. SKIMA2015.

Chen, W., Zhang, L., Shao, L., Bass, R., Liu, C. & Hossain, A. 2015. Modelling of tumour-induced angiogenesis with regress by immune factor. SKIMA 2015.

Wagley, A., Bhuiyan, M., Akhter, P., Dahal, K., & Hossain, A. 2014. Web mining to generate multimodal learning materials for children with special needs. In The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014) (pp. 1–5). IEEE. http://doi.org/10.1109/SKIMA.2014.7083515.

Lepcha, P., Srisukkham, W., Zhang, L., & Hossain, A. 2014. Red Blood based disease screening using marker controlled watershed segmentation and post-processing. In The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014) (pp. 1–7). IEEE. http://doi.org/10.1109/SKIMA.2014.7083556.

Mistry, K., Zhang, L., Neoh, S. C., Jiang, M., Hossain, A., & Lafon, B. 2014. Intelligent Appearance and shape based facial emotion recognition for a humanoid robot. In The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014) (pp. 1–8). IEEE. http://doi.org/10.1109/SKIMA.2014.7083542.

Omar, M., Hossain, A., Zhang, L., & Shum, H. 2014. An intelligent mobile-based automatic diagnostic system to identify retinal diseases using mathematical morphological operations. In The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014) (pp. 1–5). IEEE. http://doi.org/10.1109/SKIMA.2014.7083563.

Pandit, D., Zhang, L., Aslam, N., Liu, C., Hossain, A., & Chattopadhyay, S. 2014. An efficient abnormal beat detection scheme from ECG signals using neural network and ensemble classifiers. In The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014) (pp. 1–6). IEEE. http://doi.org/10.1109/SKIMA.2014.7083561.

Tripathi, G.N., Chik, D. and Wagatsuma, H., 2013. How difficult is it for robots to maintain home safety? A brain-inspired robotics point of view. ICONIP 2013, Part I, Lecture Notes in Computer Science, 8226, pp.528-536.

Chik, D., Tripathi, G.N., and Wagatsuma, H., 2013. A method to deal with prospective risks at home in robotic observations by using a brain-inspired model. ICONIP 2013, Part III, Lecture Notes in Computer Science, 8228, pp.33-40.

Abuhassan, K., Coyle, D. & Maguire, L. 2011. Employing Neuronal Networks to Investigate the Pathophysiological Basis of Abnormal Cortical Oscillations in Alzheimer’s Disease. In Engineering in Medicine and Biology Society (EMBC), 2011 Annual International Conference of the IEEE, 2011:2065–68. Boston, MA. doi:10.1109/IEMBS.2011.6090382.

Aburrous, M.R., Hossain, M.A., Dahal, K.P. and Thabtah, F., 2010. Intelligent Phishing Detection System for e-Banking using Fuzzy Data Mining. Journal of Expert Systems with Applications, 37(2010), pp.7913-7921, doi:10.1016/j.eswa.2010.04.044.

lgoul, S., Hossain, M.A., Majmuder, M.A.A.A. and Alam, M.S., 2010. Multi-objective Optimal Chemotherapy Control Model for Cancer Treatment. Springer Journal on Medical and Biological Engineering and Computing, 49(1), p.49, http://www.springerlink.com/content/l356455727608276/.

Chik, D., Kawasaki, M. and Yamaguchi, Y., 2010. A computational model of the working memory control based on EEG theta-alpha 1:2 cross-frequency synchronization. 40th Annual Meeting of Society for Neuroscience, pp. 197.3.

Yamaguchi, Y., Chik, D., Kawasaki, M. and Oka, H., 2010. Double frequency synchronization for working memory operation in the brain - a computational study for bridging human scalp EEG data and neural dynamics. Frontier of Neuroscience: Neuroinformatics 2010, doi: 10.3389/conf.fnins.2010.13.00128.

Borisyuk, R., Chik, D. and Kazanovich, Y., 2009. Partial synchronization of neural activity and information processing. Proceedings of IJCNN-2009, pp.367-374.

Borisyuk, R., Kazanovich, Y., Chik, D., Tikhanoff, V. and Cangelosi A., 2009. Neural model of selective attention and object segmentation in the visual scene: an approach based on partial synchronization and star-like architecture of connections. Neural Networks, 22, pp.707-719.

Borisyuk, R., Chik, D. and Kazanovich, Y., 2009. Selective attention model of moving objects. Neural Network World, 19(5), pp.429-445.

Borisyuk, R., Chik, D. and Kazanovich, Y., 2009. Visual perception of ambiguous figures: synchronization based neural models. Biological Cybernetics, 100(6), pp.491-504.

Chik, D., Borisyuk, R. and Kazanovich, Y., 2009. Selective attention model with spiking elements. Neural Networks, 22(7), pp.890-900.

Madkou, A.A., Hossain, M.A., Dahal, K.P. and Yu, H.H., 2007. Intelligent Learning Algorithms for Active Vibration Control. IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, 37(5), pp.1022-1033.