Marong, M., Husin, N.A., Zolkepli, M., Affendey, L.S., Data-Driven Rice Yield Predictions and Prescriptive Analytics for Sustainable Agriculture in Malaysia, International Journal of Advanced Computer Science and Applications, 2024, 15(3), pp. 362–370.
Alnoor, A., Muhsen, Y.R., Husin, N.A. et al. Z-cloud Rough Fuzzy-Based PIPRECIA and CoCoSo Integration to Assess Agriculture Decision Support Tools. Int. J. Fuzzy Syst, 2024.
Ting, K.S., Talib, O., Ayub, A.F.M., ...Yee, C.C., Hoong, T.C., Rasch model assessment of algebraic word problem among year 8 Malaysian students, International Journal of Evaluation and Research in Education, 2024, 13(2), pp. 1088–1099.
Zolkepli, M., Ramlan, I., Calendar Heatmap Visualization for Descriptive Analytics of Epidemics: A Case Study of Covid-19, Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024, 34(2), pp. 1–17.
Mohd Aris, T.N., Bakar, A.A., Mahiddin, N., Zolkepli, M., Diabetes Diagnosis and Level of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning for Classification and Prediction, Journal of Theoretical and Applied Information Technology, 2024, 102(6), pp. 2573–2586.
Luo, H., Husin, N.A., Abdipoor, S., ...Sharum, M.Y., Zolkepli, M., Object-Oriented Online Course Recommendation Systems Based on Deep Neural Networks, Journal of Theoretical and Applied Information Technology, 2024, 102(3), pp. 1276–1287.
Khairudin, N.M., Mustapha, N., Aris, T.N.M., Zolkepli, M., Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting, International Journal of Advances in Intelligent Informatics, 2024, 10(1), pp. 1–12.
Muhsen, Y.R., Husin, N.A., Zolkepli, M.B., ...Al-Hchaimi, A.A.J., Albahri, A.S., Routing Techniques in Network-On-Chip Based Multiprocessor-System-on-Chip for IOT: A Systematic Review, Iraqi Journal for Computer Science and Mathematics, 2024, 5(1), pp. 181–204
Ayomide, K.S, Mohd. Aris, T.N. & Zolkepli, M., Improving Brain Tumor Segmentation in MRI Images through Enhanced Convolutional Neural Networks, International Journal of Advanced Computer Science and Applications(IJACSA), Vol. 14, No. 4, pp. 670-678, 2023.
Muhsen, Y.R., Husin, N.A., Zolkepli, M.B., Manshor, N., A systematic literature review of fuzzy-weighted zero-inconsistency and fuzzy-decision-by-opinion-score-methods: Assessment of the past to inform the future, Journal of Intelligent and Fuzzy Systems, 2023, 45(3), pp. 4617–4638.
Aris, T.N.M., Bakar, A.A.B.U, Mahiddin, N., Zolkepli, M., A Fuzzy Inference Model for Diagnosis of Diabetes and Level of Care, Journal of Theoretical and Applied Information Technology, 2023, 101(15), pp. 5962–5975.
Khairudin, N.M., Mustapha, N., Aris, T.N.M., Zolkepli, M., A Novel Method to Estimate Hidden Neurons in Ensemble Flood Forecasting Model, Journal of Theoretical and Applied Information Technology, 2023, 101(16), pp. 6716–6726.
C. Li, I. Ishak, H. Ibrahim, M. Zolkepli, F. Sidi and C. Li, "Deep Learning-Based Recommendation System: Systematic Review and Classification," in IEEE Access, vol. 11, pp. 113790-113835, 2023.
Y. R. Muhsen, N. A. Husin, M. B. Zolkepli, N. Manshor and A. A. J. Al-Hchaimi, "Evaluation of the Routing Algorithms for NoC-Based MPSoC: A Fuzzy Multi-Criteria Decision-Making Approach," in IEEE Access, vol. 11, pp. 102806-102827, 2023.
Y. R. Muhsen, N. A. Husin, M. B. Zolkepli, N. Manshor, A. A. J. Al-Hchaimi and H. M. Ridha, "Enhancing NoC-Based MPSoC Performance: A Predictive Approach With ANN and Guaranteed Convergence Arithmetic Optimization Algorithm," in IEEE Access, vol. 11, pp. 90143-90157, 2023.
Ahanin, F., Mustapha, N., Zolkepli, M., & Husin, N. A. (2023). A Review of Traffic State Prediction (TSP) Methods in Intelligent Transportation Systems (ITS). International Journal of Academic Research in Business and Social Sciences, 13(3), 923 – 935.
Ting, K. S., Talib, O., Ayub, A. F. M., Zolkepli, M., Yee, C. C., & Hoong, T. C. (2023). Word Problems as a Vehicle for Teaching Computational Thinking. International Journal of Academic Research in Progressive Education and Development, 12(1), 1493–1509.
Mohd. Aris, K.A., Ramasamy, C., Mohd. Aris, T.N., Zolkepli, M., Dynamic Force-directed Graph with Weighted Nodes for Scholar Network Visualization, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13, No. 12, pp. 756-763, 2022.
Keat, E. Y., Mohd. Sharef, N., Yaakob, R., Kasmiran, K. A., Marlisah, E., Mustapha, N. and Zolkepli, M., Multiobjective Deep Reinforcement Learning for Recommendation Systems, IEEE Access, vol. 10, pp. 65011-65027, 2022.
Khairudin N.M., Mustapha N., Aris T.N.M., Zolkepli M. In-depth Review on Machine Learning Models for Long Term Flood Forecasting, Journal of Theoretical and Applied Information Technology, vol. 100 no. 10, pp. 3360 - 3378, 2022.
Harun, N., Jalil, H., and Zolkepli, M., Technological, organizational and environmental factors influencing on user intention towards big data technology adoption in Malaysian educational organization, Accounting, No. 8, Vol. 4, pp. 403-408, 2022.
Zakaria, M.N.A, Abdul Malek, M., Zolkepli, M. & Ahmed, A.N., Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River, Malaysia, Alexandria Engineering Journal, vol. 60, no. 4, pp. 4015-4028, 2021.
Mohd Azlan, N.N.I., Abdul Malek, M., Zolkepli, M. et al., Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia. Environ Sci Pollut Res, 2021.
Khairudin N.M., Mustapha N., Aris T.N.M., Zolkepli M. A STUDY to INVESTIGATE the EFFECT of DIFFERENT TIME-SERIES SCALES towards FLOOD FORECASTING USING MACHINE LEARNING (2021) Journal of Theoretical and Applied Information Technology, 99 (24), pp. 5687 - 5699
BADAWI B., ARIS T.N.M., ZOLKEPLI M., HUSIN N.A., PA N.C. Indoor navigation system for blind people using color qr code (2021) Journal of Theoretical and Applied Information Technology, 99 (19), pp. 4497 - 4510.12)
Ahanin F., Mustapha N., Sulaiman N.B., Zolkepli M. An efficient traffic state estimation model based on fuzzy C-mean clustering and MDL using FCD. 98 (14), pp. 2787 - 2799, 2020.
Zolkepli, M. and Aris, T.N.M., Fuzzy AHP and TOPSIS in Cross Domain Collaboration Recommendation with Fuzzy Visualization Representation, International Journal of Machine Learning and Computing(IJMLC), vol. 9, no. 6, pp. 849-861, 2019.
Aris, T.N.M., Zolkepli, M. & Che Pa, N. Fuzzy AHP in a Knowledge-Based Framework for Early Flood Warning, Applied Mechanics and Materials, vol. 892, pp. 143-149, 2019.
Ramasamy, C. & Zolkepli, M., Enhanced Bibliographic Data Retrieval and Visualization Using Query Optimization and Spectral Centrality Measure, Journal of Advanced Research in Dynamical and Control Systems(JARDCS), vol. 11, no. 3, pp.1734- 1742, 2019.
Rum, S.N.M. & Zolkepli, M., Metacognitive Strategies in Teaching and Learning Computer Programming, International Journal of Engineering & Technology, vol. 7, no. 4.38, pp. 788-794, 2018.
Daud, M., Ahmad, S., Abdullah, S.A., Zainuddin, N., Sidi, F., Jabar, M.A, Affendey, L.S., Sharef, N.M., Ishak, I.,Zolkepli, M., Nordin, F.N.M., Noor, N.Z.M., Yusof, N., Sejani, H.A., Hairani, S.R., Sabron, A., Scoring Matrix Framework for Threat Factor Profiling Model. International Journal of Engineering & Technology, vol. 7, no. 4.31, pp. 499-504, 2018.
Sidi, F., Jabar, M.A, Affendey, L.S., Sharef, N.M., Ishak, I., Zolkepli, M., Tan, M.M., Mokthi, M.F.A., Daud, M., Zainuddin N. & Hamid, R.A., A Comparative Analysis Study on Information Security Threat Models: A Propose for Threat Factor Profiling, Journal of Engineering and Applied Sciences, vol. 12, pp. 548-554, 2017.
Aris, T.N.M., Zolkepli, M., Che Pa, N., Hamdan, H. & Nazeer, S.A., Fuzzy Logic Model for Flood Warning Expert System Integrating Multi-Agent and Ontology, Journal of Engineering and Applied Sciences, vol. 12, pp. 3124-3129, 2017.
Sidi, F., Daud, M., Ahmad, S., Zainuddin, N., Abdullah, S.A., Jabar, M.A., Affendey, L.S., Ishak, I., Sharef, N.M., Zolkepli, M., Nordin, F.N.M., Sejani, H.A. & Hairani, S.R., Towards an Enhancement of Organizational Information Security through Threat Factor Profiling (TFP) Model, IOP Conf. Series: Journal of Physics: Conf. Series 892, 012011, pp. 1-8, 2017.
Zolkepli, M., Dong, F. & Hirota, K., Automatic Switching of Clustering Methods based on Fuzzy Inference in Bibliographic Big Data Retrieval System, International Journal of Fuzzy Logic and Intelligent Systems(IJFIS), vol. 14, no. 4, pp. 256- 267, 2014.
Zolkepli, M., Dong, F. & Hirota, K., Visualizing Fuzzy Relationship in Bibliographic Big Data using hybrid approach combining fuzzy c-means and Newman-Girvan algorithm. Journal of Advanced Computational Intelligence and Intelligent Informatics(JACIII), vol. 18, no. 6, pp. 896-907, 2014.
Al-Sarray, F.N.R., Zolkepli, M. (2023). Detecting Network Intrusions with Resilient Approaches Based on Convolutional Neural Networks. In: Takizawa, H., Shen, H., Hanawa, T., Hyuk Park, J., Tian, H., Egawa, R. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2022. Lecture Notes in Computer Science, vol 13798. Springer, Cham. https://doi.org/10.1007/978-3-031-29927-8_19
Azlan N.N.I.M., Saad N.M., Norhisham S., Malek M.A., Shkuri N.S.M., Zolkepli M., Ean L.W., Mohamad A.M.Water demand management at rural area using Micro-Component Analysis: A case study at Kenyir Lake, Malaysia (2022) IOP Conference Series: Earth and Environmental Science, 955 (1)
Azlan N.N.I.B.M., Norhisham S., Malek M.A., Shkuri N.S.M., Zolkepli M., Ean L.W., Mohamad A.M.Performance Comparison on Water Demand Methods Applied at Pengkalan Gawi, Kenyir Lake, Malaysia(2022) Lecture Notes in Civil Engineering, 223, pp. 163 - 172
Ramasamy, C. & Zolkepli, M., Bibliographic Data Retrieval Using Query Optimization Techniques In Mongodb, ICAISCO 2020, Penang, Malaysia, 2020.
Ku, S. T., Talib, O., Yunus, A. S. Md., & Zolkepli, M. (2019). Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL).
AlShammari, S., Zolkepli, M. & Abdullah, R., Genetic Algorithm Based Parallel K- Means Data Clustering Algorithm Using MapReduce Programming Paradigm on Hadoop Environment ,GAPKCA. In Advances in Intelligent Systems and Computing, vol. 978, vh. 10. New York, NY: Springer, 2019.
Zolkepli, M. & Aris, T.N.M., Cross Domain Recommendations based on the application of Fuzzy AHP and Fuzzy Inference Method in Establishing Transdisciplinary Collaborations, 2019 International Conference on Computational & Experimental Engineering and Sciences, ICCES 2019, Tokyo, Japan, 2019.
Ramasamy, C. & Zolkepli, M., Enhanced Bibliographic Data Retrieval and Visualization Using Query Optimization and Spectral Centrality Measure, 1st International Conference on Advances in Intelligent Systems, Soft Computing and Optimization Techniques 2019, Penang, Malaysia, 2019.
Rum, S.N.M. & Zolkepli, M., Metacognitive Strategies in Teaching and Learning Computer Programming, 4th International Conference on Knowledge and Education Technology 2018, Malaysia, 2018.
Daud, M., Ahmad, S., Abdullah, S.A., Zainuddin, N., Sidi, F., Jabar, M.A, Affendey, L.S., Sharef, N.M., Ishak, I.,Zolkepli, M., Nordin, F.N.M., Noor, N.Z.M., Yusof, N., Sejani, H.A., Hairani, S.R., Sabron, A., Scoring Matrix Framework for Threat Factor Profiling Model, International Conference on Innovations in Computer Science and Engineering (iCiCSE2018) Malaysia, 2018.
Zolkepli, M. & Aris, T.N.M., Fuzzy AHP and TOPSIS in Cross Domain Collaboration Recommendation with Fuzzy Visualization Representation, 2018 10th International Conference on Education Technology and Computers, Tokyo, Japan, 2018.
Jabar, M.A, Affendey, L.S., Sharef, N.M., Ishak, I., Zolkepli, M., Tan, M.M., Mokthi, M.F.A., Daud, M., Zainuddin N. & Sidi, F., A Comparative Analysis Study on Information Security Threat Models: A Propose for Threat Factor Profiling, The International Conference on Innovation in Computer Science and Engineering (ICiCSE2017) Malaysia, 2017.
Zolkepli, M. & Aris, T.N.M., Fuzzy MCDM Approach in Information Retrieval for Bibliographic Big Data, The 4th Symposium on Applied Engineering and Sciences 2016 (SAES2016) Kitakyushu, Japan, 2016.
Zolkepli, M., Dong, F. & Hirota, K., Application of Fuzzy Inference Engine as an Automatic Switch between ensembles of Clustering Methods, SCIS-ISIS 2014, Kitakyushu, Japan, 2014.
Zolkepli, M., Dong, F. & Hirota, K., Visualization of Fuzzy Relationship using Clustering Algorithms in Bibliographic Big Data, 14th International Symposium on Advanced Intelligent Systems ,ISIS2013, T1a-6, Daejeon, Korea, 2013.
Maslina Zolkepli and Teh Noranis Mohd. Aris (2020). Cross Domain Recommendations Based on the Application of Fuzzy AHP and Fuzzy Inference Method in Establishing Transdisciplinary Collaborations. In Okada, S., Atluri, S. N. Computational and Experimental Simulations in Engineering (pp. 397-412). New York, NY: Springer.