2016

G. RishwarajAffiliated, S. G. Ponnambalam , Loo Chu Kiong. 2016. An efficient trust estimation model for multi-agent systems using temporal difference learning. Neural Computing & Applications, 1-14. (ISI/SCOPUS Indexed Publication)


Farhan Dawood, Chu Kiong Loo (2016) View-Invariant Visuomotor Processing in Computational Mirror Neuron System for Humanoid. PLoS ONE 11(3): e0152003. doi:10.1371/journal.pone.0152003 (ISI-Indexed)


Parham Nooralishahi, Chu Kiong Loo, Manjeevan Seera. 2016. An online semi-supervised multi-channel time series classifier with growing neural gas. Neural Computing and Applications. 1-16 (ISI-Indexed)


Wei Hong Chin, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota, Yuichiro Toda. 2016. Multi-channel Bayesian Adaptive Resonance Associate Memory for on-line topological map building. Neural Computing & Applications, 38. 269-280. (ISI-Indexed)


Takenori Obo, Chu Kiong Loo, Manjeevan, Seera, Naoyuki Kubota. 2016. Hybrid Evolutionary Neuro-Fuzzy Approach based on Mutual Adaptation for Human Gesture Recognition. Applied Soft Computing. 42: 377-389. (ISI-Indexed)


Farhan Dawood, Chu Kiong Loo. 2016. Incremental episodic segmentation and imitative learning of humanoid robot through self-exploration. Neurocomputing 173(3): 1471-1484 (ISI-Indexed)


Seera, M, Lim, C.P., Loo, C.K. and Singh, H. 2016. Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree. IEEE Transactions on Neural Networks and Learning Systems: 1-12. (ISI-Indexed)


Chea-Yau Kee, S. G. Ponnambalam , Chu-Kiong Loo. 2016. Binary and multi-class motor imagery using Renyi entropy for feature extraction. Neural Computing and Applications. 1(1): 1-12 (ISI-Indexed)

2015

Bardia Yousefi, Chu Kiong Loo. 2015. Interaction of Active Basis Model and Fuzzy Optical Flow Division Mechanism for Recognition of Biological Movement Applying SNN and ELM classifiers, International Journal of Bio-Inspired Computation. (In Press) (Tier 1) (ISI-Indexed)


Liew, W.S., Seera, M., Loo, C.K., Lim, E. (2015) Affect Classification using Genetic- Optimized Ensembles of Fuzzy ARTMAPs. Applied Soft Computing 27:53-63. (Tier 1) (ISI-Indexed)


Loo, C.K., Liew, W.S., Seera, M., Lim, E. (2014) Probabilistic ensemble Fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms. Neural Computing and Applications, 26: 263-276 (Tier 2) (ISI-Indexed)


Doreen Ying Ying Sim, ChuKiong Loo. 2015. Extensive Assessment and Evaluation Methodologies on Assistive Social Robots for Modeling Human-Robot Interaction, Information Science 301: 305-344 (Tier 1) (ISI-Indexed)


Muhammad Burhan Hafez, Chu Kiong Loo. 2015. Topological Q-learning with Internally Guided Exploration for Mobile Robot Navigation. Neural Computing and Applications. (Tier 2) (ISI-Indexed)


Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera. (2015) Application of Emotion Affected Associative Memory based on Mood Congruency Effects for a Humanoid. (Accepted) (Tier 2) (ISI-Indexed)


Nasrul Islam, Naoki Masuyama, Manjeevan Seera, Chu Kiong Loo. (2015)Simultaneous Facial Features Tracking and Emotion Recognition, Neurocomputing (Tier 1) Accepted (ISI-Indexed)


Chea-Yau Kee a, Ponnambalam S.G., Chu-Kiong Loo. (2015). Genetic algorithms for channel selection in P300 and motor imagery based Brain- Computer Interface (BCI) system, Neurocomputing, (Tier 1) (ISI-Indexed)


Seera, M., Lim, C.P., Tan, S.C., Loo, C.K. (2015) A Hybrid FAM-CART Model and Its Application to Medical Data Classification. Neural Computing and Applications. (Tier 2) (ISI-Indexed)


Manjeevan, Wei Shiung Liew, Chu Kiong Loo. (2015) Classifying Stress from Heart Rate Variability using Salivary Biomarkers as Reference, IEEE Transactions on Neural Networks and Learning Systems (Tier 1). September (ISI-Indexed)


Wei Shiung Liew, Chu Kiong Loo, Manjeevan Seera. (2015). Hierarchical Parallel Genetic Optimization Fuzzy ARTMAP Ensemble. Neural Processing Letter, August 2015, 1-20 (ISI-Indexed)


Farhan Dawood, Chu Kiong Loo. (2015) Incremental Episodic Segmentation and Imitative Learning of Humanoid Robot through Self-Exploration. Neurocomputing. Tier 1 (Accepted) (ISI-Indexed)


Seera, M., Lim, C. P., Liew, W. S., Lim, E., Loo, C. K. 2015. Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models, Expert Systems with Applications 42: 3643-3652 (ISI-Indexed)


Loo, C. K., Liew, W. S., Seera, M., Lim, E. 2015. Probabilistic ensemble Fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms Neural Computing Applications (ISI-Indexed)


Seera, M., Lim, C.P., Liew, W.S., Lim, E., Loo, C.K. (2015) Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models. Expert Systems with Applications 42 (7): 3643-3652 (Tier 1) (ISI-Indexed)


Wei Hong Chin, Chu Kiong Loo. (2015). Topological Gaussian ARAM for Biologically Inspired Topological Map Building. Neural Computing and Applications. (Tier 2) (ISI-Indexed)


Wei Hong Chin, Chu Kiong Loo, Manjeevan Seera. 2015. Multi-channel Bayesian Adaptive Resonance Associate Memory for On-line Topological Map Building. Applied Soft Computing. Tier 1(Accepted) (ISI-Indexed)


Farhan Dawood, Chu Kiong Loo. 2015. Robot behaviour learning using Topological Gaussian Adaptive Resonance Hidden Markov Model, Neural Computing & Applications, 1-14. (ISI-Indexed)


Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Harapajan Singh, A modified fuzzy min max neural network for data clustering and its application to power quality monitoring, Applied Soft Computing, Volume 28, March 2015, Pages 19-29 (ISI-Indexed)

2014

Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota (2014), Quantum- Inspired Birectional Associative Memory for Human Robot Communication, International Journal of Humanoid Robotics 11(2), 22 pages (Tier 4) (ISI-Indexed)


Yuhuang Hu, Chu Kiong Loo. (2014), A Generalized Quantum-Inspired Decision Making Model for Intelligent Agent, Scientific World Journal . Volume 2014, 8 pages, http://dx.doi.org/10.1155/2014/240983 Tier 1) (ISI-Indexed)


Bardia Yousefi and Chu Kiong Loo. (2014) Development of Biological Movement Recognition by Interaction between Active Basis Model and Fuzzy Optical Flow Division, Scientific World Journal. (Tier 1) (ISI-Indexed)


Seera, M., Lim, C.P., Nahavandi, S., Loo, C.K. (2014) Condition monitoring of induction motors: a review and an application of an ensemble of hybrid intelligent models. Expert Systems with Application 41:891-4930 (Tier 1) (ISI-Indexed)


Seera, M., Lim, C.P., Loo, C.K. (2014) Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model with Online Learning. Journal of Intelligent Manufacturing. (Tier 3) (ISI-Indexed)

2013

Wai Kit Wong, Gin Chong Lee, Chu Kiong Loo & Raymond Lock, 2013, Quaternion Based Fuzzy Neural Network Classifier for MPIK Dataset s View-invariant Color Face Image Recognition, Informatica 37(1): 181-192. (ISI/SCOPUS Indexed Publication)


Raja, J Emerson and Kiong, Loo Chu and Soong, Lim Way (2013) Hilbert Huang Transform-Based Emitted Sound Signal Analysis for Tool Flank Wear Monitoring. Arabian Journal for Science and Engineering, 38(8):2219-2226. (ISI-Indexed)

2012

Gin Chong Lee, Chu Kiong Loo & Letchumanan Chockalingam. 2011. An integrated approach for head gesture based interface. Applied Soft Computing.12(3): 1101-1114. (Tier 1) (ISI-Indexed)


Tyzzkae Ang, Alan Weechiat Tan, Chukiong Loo and Waikit Wong. 2012. Wavelet MACH filter for omnidirectional human activity recognition International Journal of Innovative Computing, Information and Control 8(6). (Tier 1) (ISI-Indexed)


Noel Tay Nuo Wi, Chu Kiong Loo & Letchumanan Chokalingam. 2012. Biologically Inspired Face Recognition: Toward Pose-invariance. Journal of Neural Systems 22(6):1-17. (Tier 1) (ISI-Indexed)

2011

Chu kiong Loo, Andrews Samraj & Gin Chong Lee. Evaluation of methods for estimating fractal dimension in motor imagery-based brain computer interface. 2011. Discrete Dynamics in Nature and Society 2011(724697): 8 pages (ISI-Indexed)


Gopalai A.A., Senanayake S.M., Loo C.K., Gouwanda D. 2011. Real-time stability measurement system for postural control. Journal of Bodywork and Movement Therapies, 15(4): 453-464

2010

Arumugam, M. S., Murthy, G.R., Loo, C.K. 2010. On the Optimal Control of the Steel Annealing Processes as a Two-Stage Hybrid Systems via Particle Swarm Optimization Algorithms. International Journal of Bio-Inspired Computation (IJBIC) 1(3): 198-209.


Tay, N. W., Loo, C.K., Perus, M. 2010. Face Recognition with Quantum Associative Networks Using Overcomplete Gabor Wavelet. Cognitive Computation 2(3): 297-302.


Vickneswaran, J., Andrews, S., Loo, C.K. 2010. Motor imaginary-based brain-machine interface design using programmable logic controllers for the disabled. Computer Methods in Biomechanics and Biomedical Engineering 13(5): 617-623.


Wong, W. K., Choo, C.W., Loo, C.K., Teh, J.P. 2010. FPGA implementation of log-polar mapping. International Journal of Computer Applications in Technology 39(1-3): 12-18.


Wong, W. K., Loo, C.K., Lim, W.S., Tan, P.N. 2010. Thermal Condition Monitoring System Using Log-Polar Mapping, Quaternion Correlation and Max-Product Fuzzy Neural Network Classification. Neurocomputing 74(1-3): 164-177.


Wong, W. K., Poh, Y.C., Loo, C.K., Lim, W.S. 2010. Wireless Webcam Based Omnidirectional Health Care Surveillance System. Journal of Computer Science And Engineering (JCSE) 3(2): 1-9.


Wong, W. K., Tan, P.N., Loo, C.K., Lim, W.S. 2010. Omnidirectional Surveillance System Using Thermal Camera. Journal of Computer Science And Engineering (JCSE) 3(2): 42-51.


Wong W.K., Loo C.K., Lim W.S. 2010. Optical Approach Based Omnidirectional Thermal Visualization. International Journal of Image Processing (IJIP) 4(3): 263-286


A.Samraj, S.Sayeed, Loo C.K., N.E.Mastorokis. 2010. Eliminating Forgers Based on Intra Trial Variability in Online Signature Verification Using Handglove and Photometric Signals. Journal of Information Security 1: 23-28


2009

Chang, R. K. Y., Loo, C.K., M. V. C. Rao. 2009. Enhanced Probabilistic Neural Network with Data Imputation Capabilities for Machine Fault Classification. Neural Computing & Applications 18(4): 312-320.


Ibrahim, I. Z., Loo, C.K., Wong, E.K., Senanayake, S.M.N.A. 2009. Global Entrainment Effect on Biped Robot Locomotion Energy. International Journal of Robotics & Automation 24(4).


Murthy, G. R., Arumugam, M.S., Loo, C.K. 2009. Hybrid Particle Swarm Optimization algorithms with fine tuning operators. International Journal of Bio-Inspired Computation (IJBIC) 1(1-2): 14-31.

2008

Andrews, S., Ramaswamy, P., Teoh, A, Loo, C.K. 2008. Enhancing P300 Component by Spectral Power Ratio Principal Components for a Single Trial Brain-Computer Interface. American Journal of Applied Sciences 5(6): 639-644.


Chang, R. K. Y., Loo, C.K., M. V. C. Rao. 2008. A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network. Informatica 32(2): 219-225.


Vickneswaran, J., Andrews, S., Loo, C.K. 2008. Motor Imaginary signal Classification using Adaptive Recursive Band pass Filter and Adaptive Autoregressive Models for Brain Machine Interface Designs. International Journal of Medicine and Medical Sciences 3(4): 231-238.

2007

Raja, J. E., Loo, C.K., M. V. C. Rao. 2007. The necessity of a non-linear & non-stationary data processing in engineering and the new Hilbert Huang Transform (HHT). Journal of College Science in India 1(3).


Shohel, S., Andrews, S., Rosli. B., Loo, C.K. 2007. Forgery Detection in Dynamic Signature Verification by Entailing Principal Component Analysis. Discrete Dynamics in Nature and Society 2007.

2006

Chang, R. K. Y., Loo, C.K., M. V. C. Rao. 2006. Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means. Lecture Notes in Computer Science LNCS 3971: 830-836.


Chen, L.P., Loo, C.K., M. V. C. Rao. 2006. Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. Lecture Notes in Computer Science LNCS 4233: 70-79.


Loo, C. K., Mastorakis, N.E., Choo, C.W. 2006. Machinery Fault Diagnosis Using Cyclostationary Statistics and Quad Phase Minimum Average Correlation Energy Filters. WSEAS Transactions on systems 5(8): 2005-2010.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2006. Robust incremental growing multi-experts network. Applied Soft Computing 6(2): 139-153.


Ting, T. O., M. V. C. Rao, Loo, C.K. 2006. A novel approach for unit commitment problem via an effective hybrid particle swarm optimization. IEEE Transactions on Power Systems 21(1): 1-8.

2005

Kwek, L.C., Kang C.C., Loo, C.K., Wong, E.K. 2005. Implementation of Evolutionary Active Force Control in a 5-Link Biped Robot. International Journal of Intelligent Automation and Soft Computing 11(3): 167-178.


Loo, C.K., Law, A., Lim, W.S., M. V. C. Rao. 2005. Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. Neural Computing and Applications 15(1): 79-90.


Loo, C.K., Perus, M., Bischof, H. 2005. Object Recognition Using Quantum Holography with Neural-Net Preprocessing. Journal of Optical Technology 72(5): 358-363.


Loo, C.K., Perus, M., Bischof, H. 2005. Simulated Quantum-Optical Object-Recognition from High Resolution Images. Optics and Spectroscopy 99(2): 218-223.


Ting, T. O., M. V. C. Rao, Loo, C.K. 2006. A novel approach for unit commitment problem via an effective hybrid particle swarm optimization. IEEE Transactions on Power Systems 21(1): 1-8.


Loo, C.K. and M. V. C. Rao 2005. Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy artmap. IEEE Transactions on knowledge and data engineering 17(11): 1589-1593.


Perus, M., Bischof, H., Loo, C.K. 2005. Bio-computational model of object recognition: Quantum Hebbian Processing with Gabor Wavelets. BioSystems 82: 116-126.

2004

Lim, W. S., M. V. C. Rao, Loo, C. K. 2004. Sequential Learning Neural Network for Sonar Target Differentiation. Neural Network World 14(2): 187-197.


Loo, C. K., Lim, W. S., M. V. C. Rao. 2004. Classifiers for Sonar Target Differentiation. Lecture Notes in Artificial Intelligence 3214: 305-311.


Loo, C. K., Perus, M., Bischof, H. 2004. Associative Memory based Image and Object Recognition by Quantum Holography. Open Systems and Information Dynamics 11(3): 277-289.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2004. Novel Direct and Self-regulating Approaches to Determine Optimum Growing Multi-Experts Network Structure. IEEE Transactions on Neural Network 15(6): 1378-1395.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2004. Growing Multi-experts Network with confidence interval estimation. Neural Network World 2(1): 127-137.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2004. A Hybrid Intelligent Active Force Controller for Articulated Robot Arms Using Dynamic Structure Neural Network. Journal of Intelligent and Robotic Systems 40(2): 113-145.


Loo, C. K., M. Rajeswari, Wong, E. K, M. V. C. Rao. 2004. Mobile robot path planning using hybrid genetic algorithm and traversability vectors method. Intelligent Automation and Soft Computing 10(1): 51-63.


Perus, M., Bischof H., Caulfield, H.J., Loo, C.K. 2004. Quantum-Implementable Selective Reconstruction of High-Resolution Images. Applied Optics 43(33): 6134-6138.

2003

Kwek, L.C., Wong, E.K., Loo, C.K., M. V. C. Rao. 2003. Application of Active Force Control and Iterative Learning in a 5-link Biped Robot. Journal of Intelligent and Robotic Systems 37: 144-162.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2003. Nonlinear Dynamic System Identification and Control via Constructivism Inspired Neural Network. Applied Soft Computing 3(3): 237-257.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2003. Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network. Applied Soft Computing 3(2): 159-175.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2003. Nonlinear dynamic system identification and control via self-regulating modular neural network. Neural Network World 13(3): 393-420.


Loo, C. K., M. Rajeswari, M. V. C. Rao. 2003. Growing Multi-experts Network. Neural Network World 6(3): 663-686.


Ting, T.O., M. V. C. Rao, Loo, C.K., Ngu, S.S. 2003. Solving unit commitment problem using hybrid particle swarm optimisation. Journal of Heuristics 9(6): 507-520.