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Journals

2021
  1. Rayner Alfred, J. H. Obit, The roles of machine learning methods in limiting the spread of deadly diseases: A systematic review, Heliyon, Volume 7, Issue 6, 2021, e07371,ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2021.e07371. (https://www.sciencedirect.com/science/article/pii/S2405844021014742) (Q1) 
  2. Mathieson Tan Zui Quen, J. Mountstephens, Yong Guang Teh, J. Teo: Medical image interpretation training with a low-cost eye tracking and feedback system: A preliminary study. Healthcare Technology Letters. 2021; 00; pp. 1–7. https://doi.org/10.1049/htl2.12014 (Q1)
  3. Rayner Alfred, J. H. Obit, C. P. -Y. Chin, H. Haviluddin and Y. Lim, Towards Paddy Rice Smart Farming: A Review on Big Data, Machine Learning, and Rice Production Tasks, in IEEE Access, vol. 9, pp. 50358-50380, 2021, doi: 10.1109/ACCESS.2021.3069449. https://ieeexplore.ieee.org/document/9389541?source=authoralert (Q1)
  4. Aaron Frederick Bulagang, James Mountstephens & Jason Teo, Multiclass emotion prediction using heart rate and virtual reality stimuli. J Big Data 8, 12 (2021). https://doi.org/10.1186/s40537-020-00401-x (Q1)
  5. Rayner Alfred, Loo Yew Jie, Joe Henry Obit, Yuto Lim, Haviluddin Haviluddin, and Azreen Azman, Social Media Mining: A Genetic Based Multiobjective Clustering Approach to Topic Modelling, IAENG International Journal of Computer Science, vol. 48, no. 1, pp32-42, 2021, http://www.iaeng.org/IJCS/issues_v48/issue_1/IJCS_48_1_04.pdf (Q2)
  6. Rayner Alfred, Joe Henry Obit, A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges, International Journal on Advanced Science, Engineering and Information Technology Open Access Volume 11, Issue 1, 2021, Pages 334-341, DOI: 10.18517/ijaseit.11.1.11883 (Q2) ​
2020
  1. Teo, J. Early Detection of Silent Hypoxia in Covid-19 Pneumonia Using Smartphone Pulse Oximetry. J Med Syst 44, 134 (2020). https://doi.org/10.1007/s10916-020-01587-6 (Q1)
  2. Zheng, L.J., Mountstephens,  J. & Teo , J. Four-class emotion classification in virtual reality using pupillometry. J Big Data 7, 43 (2020). https://doi.org/10.1186/s40537-020-00322-9 (Q1)
  3. Suhaimi NS, Mountstephens J, Teo J. EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities. Comput Intell Neurosci. 2020 Sep 16;2020:8875426. doi: 10.1155/2020/8875426. PMID: 33014031; PMCID: PMC7516734. (Q1)
  4. Lim, J.Z.; Mountstephens, J.; Teo, J. Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges. Sensors 2020, 20, 2384. (Q1)
  5. Florence Sia, Rayner Alfred and Yuto Lim, Tree-Based Contrast Subspace Mining for Categorical Data, International Journal of Computational Intelligence Systems, https://doi.org/10.2991/ijcis.d.201020.001 (Q1)
  6. Kok Luong Goh,Giap Weng Ng,Muzaffar Hamzah and Soo See Chai, A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images, International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 1, pp. 178-184, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.1.10240. (Q2)
  7. Mountstephens, J.; Teo, J. Progress and Challenges in Generative Product Design: A Review of Systems. Computers 2020, 9, 80. (Q2)
  8. Aaron Frederick Bulagang, Ng Giap Weng, James Mountstephens, Jason Teo, A review of recent approaches for emotion classification using electrocardiography and electrodermography signals, Informatics in Medicine Unlocked, Volume 20, 2020, 100363, ISSN 2352-9148, https://doi.org/10.1016/j.imu.2020.100363. (Q2)​
2019
  1. Sia, Florence; Alfred, Rayner. Tree-based mining contrast subspace. International Journal of Advances in Intelligent Informatics, [S.l.], v. 5, n. 2, p. 169-178, july 2019. ISSN 2548-3161.1. (Q4)
  2. Teo, J., Chia, J.T., Lee, J.Y. (2019) Deep learning for emotion recognition in affective virtual reality and music applications, International Journal of Recent Technology and Engineering 8(2 Special Issue 2), pp. 162-170, ISSN: 2277-3878 (Q4)
  3. Ong, J.H., Teo, J. (2019) Empirical study of Hyper-Heuristic on severely limited noisy optimization function, ARPN Journal of Engineering and Applied Sciences 14(17), pp. 2954-2959. ISSN: 18196608 (Q3)
  4. Teo, J., Chia, J. (2019) Excitement classification of virtual reality stimuli using brain-computer interfacing and deep learning, Journal of Computational and Theoretical Nanoscience, 16(5-6), pp. 2241-2248, ISSN: 15461955, DOI: 10.1166/jctn.2019.7880 (Q4)
  5. Abdalla, M.H., Obit, J.H., Alfred, R., Junn, K.Y. (2019) Sequential integer programming for solving curriculum-based university course timetabling problem, International Journal of Recent Technology and Engineering 8(2 Special Issue 8), pp. 1455-1462, ISSN: 2277-3878 (Q4)

Book Chapters / Proceedings

  1. Alfred R., Yu H.F. (2020) Automated Scheduling of Hostel Room Allocation Using Genetic Algorithm. In: Sharma N., Chakrabarti A., Balas V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1042. Springer, Singapore
  2. Alfred R., Lun C.Y. (2020) Unsupervised Learning of Image Data Using Generative Adversarial Network. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1041. Springer, Singapore
  3. Feng L., Ng G.W., Ma L. (2020) A Review of An Interactive Augmented Reality Customization Clothing System Using Finger Tracking Techniques as Input Device. In: Alfred R., Lim Y., Haviluddin H., On C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore
  4. Fazli B. et al. (2020) Improvement of Dam Management in Terms of WAM Using Machine Learning. In: Mohd Sidek L., Salih G., Boosroh M. (eds) ICDSME 2019. ICDSME 2019. Water Resources Development and Management. Springer, Singapore
  5. June T.L., Obit J.H., Leau YB., Bolongkikit J., Alfred R. (2020) Sequential Constructive Algorithm incorporate with Fuzzy Logic for Solving Real World Course Timetabling Problem. In: Alfred R., Lim Y., Haviluddin H., On C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore
  6. Junn K.Y., Obit J.H., Alfred R., Bolongkikit J., Leau YB. (2020) An Investigation of Generality in two-layer Multi-agent Framework towards different domains. In: Alfred R., Lim Y., Haviluddin H., On C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore
  7. Sia F., Alfred R. (2020) Optimizing Parameters Values of Tree-Based Contrast Subspace Miner using Genetic Algorithm. In: Alfred R., Lim Y., Haviluddin H., On C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore
  8. Rayner Alfred, Yuto Lim, Haviluddin Haviluddin, Kim On Chin, Computational Science and Technology, Lecture Notes in Electrical Engineering, 603, Springer Singapore, eBook ISBN: 978-981-15-0058-9, Hardcover ISBN: 978-981-15-0057-2, 2020.
  9. Teo J., Chew L.H., Mountstephens J. (2019) Improving Subject-Independent EEG Preference Classification Using Deep Learning Architectures with Dropouts. In: Arai K., Kapoor S., Bhatia R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 886. Springer, Cham
  10. Lee RT., Leau YB., Park Y.J., Obit J.H. (2020) A Perspective Towards NCIFA and CIFA in Named-Data Networking Architecture. In: Alfred R., Lim Y., Haviluddin H., On C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore
  11. L. Ren Ting, Y. Leau, Y. J. Park and J. H. Obit, Enhancing the Performance of Elliptic Curve Digital Signature Algorithm (ECDSA) in Named Data Networking (NDN), 2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia, 2018, pp. 65-69.
  12. Abdalla M.H., Obit J.H., Alfred R., Bolongkikit J. (2019) Performance Comparison of Sequential and Cooperative Integer Programming Search Methodologies in Solving Curriculum-Based University Course Timetabling Problems (CB-UCT). In: Alfred R., Lim Y., Ibrahim A., Anthony P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore
  13. Junn K.Y., Obit J.H., Alfred R., Bolongkikit J. (2019) A Formal Model of Multi-agent System for University Course Timetabling Problems. In: Alfred R., Lim Y., Ibrahim A., Anthony P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore
  14. June T.L., Obit J.H., Leau YB., Bolongkikit J. (2019) Implementation of Constraint Programming and Simulated Annealing for Examination Timetabling Problem. In: Alfred R., Lim Y., Ibrahim A., Anthony P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore
  15. Abdalla M.H., Obit J.H., Alfred R., Bolongkikit J. (2019) Agent based integer programming framework for solving real-life curriculum-based university course timetabling. In: Alfred R., Lim Y., Ibrahim A., Anthony P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore
  16. Obit J.H., Junn K.Y., Alfred R., Bolongkikit J., Sheng O.Y. (2019) An Investigation towards Hostel Space Allocation Problem with Stochastic Algorithms. In: Alfred R., Lim Y., Ibrahim A., Anthony P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore