Foo, Zhi Yao and Ng, Kok Why and Haw, Su Cheng and Anaam, Elham Abdulwahab (2024) Analysis of Book Preferences Among Visitors in Library System. TEM Journal, 13 (1). pp. 422-430. ISSN 2217-8309

Anaam, Elham Abdulwahab and Haw, Su Cheng and Ng, Kok Why and Naveen, Palanichamy and Tong, Gee Kok (2024) Analysis of multi-criteria recommendation system based on fuzzy algorithm. Bulletin of Electrical Engineering and Informatics, 13 (4). pp. 2969-2978. ISSN 2089-3191

Boe, Chang Horn and Ng, Kok Why and Haw, Su Cheng and Naveen, Palanichamy and Abdulwahab Anaam, Elham (2024) An Automated Face Detection and Recognition for Class Attendance. JOIV : International Journal on Informatics Visualization, 8 (3). pp. 1146-1153. ISSN 2549-9610

Palanichamy, Naveen and Haw, Su Cheng and Anaam, Elham Abdulwahab and Ng, Kok Why (2024) Blockchain for E-certificate verification education records: Review paper. In: 3rd International Conference on Computer, Information Technology, and Intelligent Computing (CITIC2023), 26–28 July 2023, Virtual Conference.

Chan, Yun Hong and Ng, Kok Why and Haw, Su Cheng and Palanichamy, Naveen (2024) Continuous Training of Recommendation System for Airbnb Listings Using Graph Learning. JOIV : International Journal on Informatics Visualization, 8 (1). p. 247. ISSN 2549-9610

SaberiKamarposhti, Morteza and Ng, Kok Why and Yadollahi, Mehdi and Kamyab, Hesam and Cheng, Jie and Khorami, Majid (2024) Cultivating a sustainable future in the artificial intelligence era: A comprehensive assessment of greenhouse gas emissions and removals in agriculture. Environmental Research, 250. p. 118528. ISSN 0013-9351

Ng, Tong Jun and Ng, Kok Why and Haw, Su Cheng (2024) Lib-Bot: A Smart Librarian-Chatbot Assistant. International Journal of Computing and Digital Systems, 15 (1). pp. 1-11. ISSN 2210-142X

Anaam, Elham Abdulwahab and Haw, Su Cheng and Ng, Kok Why and Naveen, Palanichamy (2024) Neural Network Feature Selection Based on Collaborative Filtering Recommender Systems for User Classification. Fusion: Practice and Applications, 15 (2). pp. 155-164. ISSN 2770-0070

Tai, Tong Ern and Haw, Su Cheng and Ng, Kok Why and Al-Tarawneh, Mutaz and Tong, Gee Kok (2024) Performance Evaluation on Resolution Time Prediction Using Machine Learning Techniques. JOIV : International Journal on Informatics Visualization, 8 (2). p. 583. ISSN 2549-9610

SaberiKamarposhti, Morteza and Ng, Kok Why and Chua, Fang Fang and Abdullah, Junaidi and Yadollahi, Mehdi and Moradi, Mona and Ahmadpour, Sima (2024) Post-quantum healthcare: A roadmap for cybersecurity resilience in medical data. Heliyon, 10 (10). e31406. ISSN 2405-8440

Wong, Qian Qing and Ng, Kok Why and Haw, Su Cheng (2024) Shirt-color recognition for the color-blindness. MethodsX, 13. p. 102866. ISSN 2215-0161

Anaam, Elham Abdulwahab and Haw, Su Cheng and Naveen, Palanichamy and Ng, Kok Why (2023) Blockchain-Based Recommendation System: A Review Focusing On Security Aspect. Advances in Artificial Intelligence and Machine Learning, 03 (04). pp. 1572-1587. ISSN 2582-9793

Zulkiflee, Imran and Haw, Su Cheng and Ng, Kok Why and Naveen, Palanichamy and Krisnawati, Lucia Dwi (2023) Customer Relationship Management for Better Insights with Descriptive Analytics. Advances in Artificial Intelligence and Machine Learning, 03 (03). pp. 1482-1493. ISSN 2582-9793

Lim, Belle Bey Ee and Ng, Kok Why and Ng, Sew Lai (2023) Drowsiness Detection System Through Eye and Mouth Analysis. JOIV : International Journal on Informatics Visualization, 7 (4). p. 2489. ISSN 2549-9610

Ng, Kok Why and Lim, Yixen and Haw, Su Cheng and Yoong, Yih Jian (2023) Emotion Recognition on Facial Expression and Voice: Analysis and Discussion. International Journal on Advanced Science, Engineering and Information Technology (IJASEIT), 13 (5). p. 1703. ISSN 2088-5334

Ooi, Kher Ning and Haw, Su Cheng and Ng, Kok Why (2023) A Healthcare Recommender System Framework. International Journal on Advanced Science, Engineering and Information Technology (IJASEIT), 13 (6). pp. 2282-2293. ISSN 2088-5334

Lim, Ying Fei and Haw, Su Cheng and Ng, Kok Why and Anaam, Elham Abdulwahab (2023) Hybrid-based Recommender System for Online Shopping: A Review. Journal of Engineering Technology and Applied Physics, 5 (1). pp. 12-34. ISSN 2682-8383

Haw, Su Cheng and Chew, Lit Jie and Kusumo, Dana Sulistyo and Naveen, Palanichamy and Ng, Kok Why (2023) Mapping of extensible markup language-to-ontology representation for effective data integration. IAES International Journal of Artificial Intelligence (IJ-AI), 12 (1). p. 432. ISSN 2089-4872

Yeow, Sin Qian and Ng, Kok Why (2023) Neural Network Based Data Encryption: A Comparison Study among DES, AES, and HE Techniques. JOIV : International Journal on Informatics Visualization, 7 (3-2). p. 2086. ISSN 2549-9610

Tai, Tong Ern and Haw, Su Cheng and Ng, Kok Why and Naveen, Palanichamy and Al-Tarawneh, Mutaz (2023) Performance Evaluation on Resolution Time Prediction Using Decision Tree, Random Forest and eXtreme Gradient Boosting. In: 2023 International Conference on Computer Applications Technology (CCAT), 15-17 September 2023, Guiyang, China.

Tham, Keng Theen and Ng, Kok Why and Haw, Su Cheng (2023) Phishing Message Detection Based on Keyword Matching. Journal of Telecommunications and the Digital Economy, 11 (3). pp. 105-119. ISSN 2203-1693

Lye, Marcus Hong Zheng and Ng, Kok Why (2023) Processing Plant Diseases Using Transformer Model. JOIV : International Journal on Informatics Visualization, 7 (4). p. 2550. ISSN 2549-9610

Harunasir, Mohamad Faris and Naveen, Palanichamy and Haw, Su Cheng and Ng, Kok Why (2023) Sentiment Analysis of Amazon Product Reviews by Supervised Machine Learning Models. Journal of Advances in Information Technology, 14 (4). pp. 857-862. ISSN 1798-2340

Martono, Salsabila and Kusumo, Dana Sulistyo and Gandhi, Arfive and Haw, Su Cheng and Ng, Kok Why (2023) User Evaluation of Diversity and Novelty in the Redesigned Recommender List for an Indonesian E-Commerce Platform. Journal of System and Management Sciences, 13 (4). pp. 615-623. ISSN 1816-6075, 1818-0523

Maw, Maw and Haw, Su Cheng and Ng, Kok Why (2022) An Enhanced Customer Churn Prediction Framework using Data Mining and Machine learning Techniques. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Ts, An Da and Ng, Kok Why and Chua, Fang Fang (2022) Intelligent Inspection of Manufacturing Workpiece Based on Parallel Processing of Machine Vision. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Neoh, Hoo Thye and Ng, Kok Why and Ting, Choo Yee (2022) Interpreting Machine Learning Model for Generic Needs on Marital Satisfaction. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Foo, Jia Lin and Ng, Kok Why and Naveen, Palanichamy (2022) Neural Network-Based Encryption of Data Communication. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Haw, Su Cheng and Chew, Lit Jiew and Ng, Kok Why and Naveen, Palanichamy and Gandhi, Arfive and Martha, Ati Suci Dian (2022) Ontology-based Recommender System with Descriptive Analytics in e-Commerce. In: 2022 2nd International Conference on Big Data Engineering and Education (BDEE), 5-7 Aug 2022, Chengdu, China.

P.Ramis, Niroshaan and Ng, Kok Why and Haw, Su Cheng (2022) Spect-level Sentiment Analysis on Online Product Review. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Liew, Jun Xian and Ng, Kok Why and Haw, Su Cheng and Ng, Sew Lai (2022) ARCards: Marker-Based Augmented Reality Recognition for Business Cards. In: 2nd International Conference on Big Data Engineering and Education, BDEE 2022, 5 -7 Aug 2022, Chengdu, China.

Ng, Seng Beng and Ng, Kok Why and Rahmat, Rahmita Wirza O.K. and Yoong, Yih Jian (2022) Blending of three-dimensional geometric model shapes. Indonesian Journal of Electrical Engineering and Computer Science, 27 (1). p. 102. ISSN 2502-4752

Haw, Su Cheng and Chew, Lit Jie and Ong, Kyle and Ng, Kok Why and Naveen, Palanichamy and Anaam, Elham Abdulwahab (2022) Content-based Recommender System with Descriptive Analytics. Journal of System and Management Sciences, 12 (5). pp. 105-120. ISSN 1816-6075, 1818-0523

Khan @ Khin Hnin Oo, Shereen and Tan, Olivia Swee Leng and Khan @ Thandar Oo, Nasreen and Ng, Kok Why and Tan, Swee Wei (2022) Data Analytic for Cyber Security: A Review of Current Framework Solutions, Challenges and Trends. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 18. pp. 1-6. ISSN 2602-3199

Chew, Lit Jie and Haw, Su Cheng and Subramaniam, Samini and Ng, Kok Why (2022) A Hybrid Ontology-based Recommender System Utilizing Data Enrichment and SVD Approaches. Journal of System and Management Sciences, 12 (5). pp. 139-154. ISSN 1816-6075, 1818-0523

Haw, Su Cheng and Ong, Kyle and Chew, Lit Jie and Ng, Kok Why and Naveen, Palanichamy and Anaam, Elham Abdulwahab (2022) Improving the Prediction Resolution Time for Customer Support Ticket System. Journal of System and Management Sciences, 12 (6). pp. 1-16. ISSN 1816-6075, 1818-0523

Haw, Su Cheng and Amin, Aisyah and Naveen, Palanichamy and Ng, Kok Why (2022) Performance Evaluation of XML Dynamic Labeling Schemes on Relational Database. International Journal of Technology, 13 (5). p. 1055. ISSN 2086-9614

Ang, John Syin and Ng, Kok Why and Chua, Fang Fang (2022) Stock market prediction using deep learning approach. Journal of Engineering Science and Technology., 17 (5). pp. 3174-3186. ISSN 1823-4690

Ng, Kok Why and Chua, Fang Fang and Ang, John Syin (2020) Modeling Time Series Data with Deep Learning: A Review, Analysis, Evaluation and Future Trend. In: 2020 8th International Conference on Information Technology and Multimedia (ICIMU), 24-26 Aug. 2020, Selangor, Malaysia.

Ong, Kyle and Ng, Kok Why and Yoong, Yih Jian (2019) 3D Shape Blending: Parts Swapping. In: 2nd International Conference on Computational Intelligence and Intelligent Systems, 23-25 Nov. 2019, AVANI Atrium Bangkok, Bangkok, Thailand.

Ong, Kyle and Haw, Su Cheng and Ng, Kok Why (2019) Deep Learning Based-Recommendation System: An Overview on Models, Datasets, Evaluation Metrics, and Future Trends. In: 2nd International Conference on Computational Intelligence and Intelligent Systems, 23-25 Nov. 2019, AVANI Atrium Bangkok, Bangkok, Thailand.

Ng, Kok Why (2016) An Improved Skeletion-Based Technique For Three-Dimensional Model Segmentation. PhD thesis, Multimedia University.

Babaei, Mahdi and Babaei, Hossein Reza and Ng, Kok Why and Parsi, Pooria (2015) A quality framework for multimodal interaction in educational environments. In: 2015 IEEE 3rd International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA). IEEE, pp. 1-6. ISBN 978-1-4673-7255-8

Ng, Kok Why and Low, Zhi Wen (2014) Simplification of 3D triangular Mesh for level of detail computation. In: 2014 11th International Conference on Computer Graphics, Imaging and Visualization (CGIV). IEEE, pp. 11-16. ISBN 978-1-4799-5720-0

Ho, Chiung Ching and Ng, Hu and Tan, Wooi Haw and Ng, Kok Why and Tong, Hau Lee and Yap, Timothy Tzen Vun and Chong, Pei Fen and Eswaran, Chikkannan and Abdullah, Junaidi (2013) MMU GASPFA: A COTS multimodal biometric database. Pattern Recognition Letters, 34 (15). pp. 2043-2050. ISSN 0167-8655

Ng, Hu and Ho, Chiung Ching and Tan, Wooi Haw and Tong, Hau Lee and Ng, Kok Why and Yap, Timothy Tzen Vun and Chong, Pei Fen and Tan, Lay Kun and Abdullah, Junaidi and Eswaran, Chikkannan (2013) MMUGait database and baseline results. In: Advances in Visual Informatics. Lecture Notes in Computer Science, 8237 (8237). Springer Berlin Heidelberg, pp. 458-469. ISBN 978-3-319-02957-3

Ng, Kok Why and Abdullah, Junaidi and Ng, Sew Lai (2012) Semi-automatic segmentation of 3d point clouds skeleton without explicit computation for critical points. In: PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence. Springer-Verlag Berlin, pp. 783-788. ISBN 978-3-642-32694-3

Ng, Kok Why (2010) Surface reconstruction from the point cloud - A considerable framework. In: 2010 IEEE Student Conference on Research and Development (SCOReD). IEEE, pp. 198-201. ISBN 978-1-4244-8647-2