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Publications

2026

  1. Abd Yusof, N.F., Othman, Z., Zulkarnain, N.Z., Ahmad, S.S.S., Hashim, A.H. and Wiharja, K.R.S., 2026. AI-Enhanced GraphoText Analysis for Tracking Counselling Therapy Progress: Integrating Multimodal Graphology and Machine Learning. depression and anxiety, 56(2), pp.1-12.

2025

  1. Al-Araji, Z.J., AlKhaldee, M.S., Mutlag, A.A., Abdulkadhim, Z.A., Farhood, H.M., Ahmad, S.S.S., Hikmat, N.N., Yassen, A., Al-Dulaimi, A.A.I., Al-Sheikh, N.N.H. and Ali, A.H., 2025. Healthcare Security in Edge-Fog-Cloud Environment using Blockchain: A Systematic Review. Mesopotamian Journal of CyberSecurity, 5(2), pp.606-635.

  2. Suntrakumar, M.V., Syed Ahmad, S.S., Basiron, H., Zulkarnain, N.Z., Zainudin, H., Samsudin, M.L. and Othman, M.R., 2025. Predicting Power Plant Start-Up Time: Leveraging Random Forest Algorithm and Univariate Selection for Enhanced Generator Performance. In Big Data and Data Science Engineering: Volume 7 (pp. 49-63). Cham: Springer Nature Switzerland.

  3. Kusuma, D.T., Ahmad, N., Ahmad, S.S.S., Sangadji, I.B. and Arvio, Y., 2025. An efficient clustering approach in electrical energy consumption patterns. Bulletin of Electrical Engineering and Informatics, 14(2), pp.1168-1177.

  4. Kausar, N. and Palanikumar, M., 2025. Finding new similarities measures for Type-II Diophantine neutrosophic interval valued soft sets and its basic operations. International Journal of Neutrosophic Science (IJNS), 25(1).

  5. Anshori, M.Y., Katias, P., Herlambang, T., Meutia, N.S., Othman, Z.B. and Azmi, M.S., 2025. Predicting Hotel Revenue Using Gradient Boosting Regression and Support Vector Regression: A Comparative Analysis.

  6. Ghazali, K.W.M., Osman, M., Othman, Z. and Omar, M.S., 2024, December. Integrating Computational Thinking Skills in Secondary Education: a Feasibility Study. In 2024 International Conference on TVET Excellence & Development (ICTeD) (pp. 20-25). IEEE.

2024

  1. Zulkarnain, N.Z. and Ahmad, S.S.S., 2024, December. Guess the Learning Type: A Micro-Designed Gamified Approach to Machine Learning Types. In 2024 International Conference on TVET Excellence & Development (ICTeD) (pp. 44-48). IEEE.

  2. Ishak, A.A., Othman, Z. and Ahmad, S.S.S., 2024. A Comparative Study on Used Car Price Prediction Model. Journal of the Society of Automotive Engineers Malaysia, 8(1), pp.41-61.

  3. Kusuma, D.T., Arvio, Y., Sangadji, I.B., Ahmad, N., Ahmad, S.S.S. and Puspitasari, F., 2024, September. An Analysis of Electrical Energy Usage in Social Consumers Using Fuzzy C Means. In 2024 11th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) (pp. 405-410). IEEE.

  4. Supramaniam, A., Ahmad, S.S.S. and Yusoh, Z.I.M., 2024, August. Predictive Maintenance using Deep Reinforcement Learning. In 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 671-676). IEEE.

  5. Rasool, E., Kausar, N., Ahmad, S.S.S., Aydin, N. and Olanrewaju, O.A., 2024. Multi-Attribute Decision-making Based on Pythagorean Fuzzy Numbers and its Application in Hotel Evaluations. Decision Making: Applications in Management and Engineering, 7(2), pp.559-571.

  6. Suntrakumar, M.V., Ahmad, S.S.B.S., Abd Yusof, N.F. and Samsudin, M.L., 2024, July. Identification of Key Parameters Influencing Load Progression During Startup in Combined Cycle Power Plants (CCPP): Implications for Smart Grids. In 2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 265-270). IEEE.

  7. Marco, R. and Ahmad, S.S.S., 2024. Imputation of Missing Data Using Masked Denoising Autoencoder with L2-Norm Regularization in Software Effort Estimation. International Journal of Intelligent Engineering & Systems, 17(4).

  8. Suntrakumar, M.V., Ahmad, S.S.B.S., Samsudin, M.L. and Othman, M.R., 2024, June. Comparative analysis of filter, wrapper, and embedded feature selection methods to predict load progression in combined cycle power plant (CCPP) startup across diverse startup classes. In 2024 8th International Conference on Power Energy Systems and Applications (ICoPESA) (pp. 127-135). IEEE.

  9. KUSUMA, D.T., AHMAD, N. and AHMAD, S.S.S., 2024. CLUSTERING ALGORITHM FOR ELECTRICAL LOAD PROFILING ANALYSIS: A SYSTEMATIC REVIEW OF MACHINE LEARNING APPROACHES FOR IMPROVED CLUSTERING ALGORITHMS. Journal of Theoretical and Applied Information Technology, 102(10).

  10. Alaaraji, Z., Mutlag, A. and Ahmad, S.S.S., 2024. Implement Edge pruning to Enhance attack graph generation using Naïve approach algorithm. El-Cezeri, 11(3), pp.298-306.

  11. Singh, M., YT, K., Khan, M.A., Verma, N., Mishra, A.K. and Ahmad, S., 2024. Elucidation of the Possible Molecular Mechanism for the Anti-Apoptotic Effect of Terpene-Rich Extract of Amomum subulatum and Coriandrum sativum against Rodent Model of Cardiotoxicity. Journal of Current Toxicology and Venomics, 4(1), p.E050624230706.

  12. Al-Araji, Z.J., Ahmad, S.S.S., Farhood, H.M., Mutlag, A.A. and Al-Khaldee, M.S., 2024. Attack graph-based security metrics: concept, taxonomy, challenges and open issues. In BIO Web of Conferences (Vol. 97, p. 00085). EDP Sciences.

  13. Mansor, A. and Othman, Z., 2024. Malaysian Community College Graduates Employability Prediction Model Using Machine Learning Approach. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 16(3), pp.1-7.

  14. Kasmuri, E. and Basiron, H., 2024. Subjectivity Analysis of an Enhanced Feature Set for Code-Switching Text. International Journal of Advanced Computer Science & Applications, 15(9).

  15. Purnomo WP, Y.S., Kumar, Y.J. and Zulkarnain, N.Z., 2024. PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributions. Global Knowledge, Memory and Communication, 73(6/7), pp.853-870.

  16. Zian, L.Q., Zulkarnain, N.Z. and Kumar, Y.J., 2024. Fuzzy Matching: An Alternative Technique for Merging Extracted Web Data. Journal of Advanced Computing Technology and Application (JACTA), 6(1), pp.1-13.

  17. WP, Y.S.P., Kumar, Y.J., Zulkarnain, N.Z. and Raza, B., 2024. Extraction and attribution of public figures statements for journalism in Indonesia using deep learning. Knowledge-Based Systems, 289, p.111558.

  18. Zian, L.Q., Zulkarnain, N.Z. and Kumar, Y.J., 2024. Challenges in big data adoption for Malaysian organizations: a review. Indonesian Journal of Electrical Engineering and Computer Science, 33(1), pp.507-517.

  19. Yusof, S.S.M., Ghani, H.A., Khamis, N., Saleh, N.I.M., Yusof, N. and Selamat, H., 2024. Deep Learning Model Using Long Short-Term Memory (LSTM) for Time-Series Forecasting of Traffic Volume in Malaysia. In Board Diversity and Corporate Governance (pp. 557-564). Cham: Springer Nature Switzerland.

  20. Al Amien, J., Ab Ghani, H., Saleh, N.I.M., Soni, S., Fatma, Y. and Hayami, R., 2024. A comprehensive evaluation of multiclass imbalance techniques with ensemble models in IoT environments. TELKOMNIKA (Telecommunication Computing Electronics and Control), 22(3), pp.690-701.

  21. Ismanto, E., Ab Ghani, H., Aziz, N.H.B.A., Saleh, N.I.M. and Effendy, N., 2024, January. Enhancing Student Performance Prediction through LSTM-based Deep Learning Models with Unbalanced Data Handling using Oversampling Approach. In Proceedings of the 4th International Conference on Communication, Language, Education and Social Sciences (CLESS 2023) (Vol. 819, p. 192). Springer Nature.

  22. Barawi, M.H., Abd Yusof, N.F., Stephen, D., Othman, M.K., Nordin, Z.S. and Aziz, M.I.A., 2024. Gaussian graphical model for Perceiving the Sense of Community of Melanau Coastal Village in Mukah, Sarawak. International Journal of Computer Information Systems and Industrial Management Applications, 16(1), pp.15-15.

  23. Barawi, M.H., Osman, S.N.M., Abd Yusof, N.F., Ibeke, E. and Fadhli, M., 2024. Using Entropy to Measure Text Readability in Bahasa Malaysia for Year One Students. Journal of Cognitive Sciences and Human Development. Vol, 10, p.1.

2023
  1. Xian, B.L., Ahmad, S.S.S., Yusof, N.F.A. and Borah, S., 2023, September. Enhancing Mental Health Assessment Through Fuzzy System. In International Conference on Theory and Applications of Fuzzy Systems and Soft Computing (pp. 383-392). Cham: Springer Nature Switzerland.
  2. Marco, R., Ahmad, S.S.S. and Ahmad, S., 2023. An Improving Long Short Term Memory-Grid Search Based Deep Learning Neural Network for Software Effort Estimation. International Journal of Intelligent Engineering & Systems, 16(4).
  3. Marco, R., Ahmad, S.S.S. and Ahmad, S., 2023. Improving Conditional Variational Autoencoder with Resampling Strategies for Regression Synthetic Project Generation. International Journal of Intelligent Engineering & Systems, 16(4).
  4. Al-Masadeh, M.B., Azmi, M.S. and Ahmad, S.S.S., 2023. Tiny datablock in saving Hadoop distributed file system wasted memory. International Journal of Electrical & Computer Engineering (2088-8708), 13(2).
  5. Hamzah, F.D., Othman, Z. and Ahmad, S.S.S., 2023. Automated Road Crack Detection: A Comparative Analysis of Edge Detection Techniques for Enhanced Accuracy. Journal of the Society of Automotive Engineers Malaysia, 7(2), pp.91-100.
  6. Zulkarnain, N.Z. and Mansor, M., 2023, November. Introducing artificial intelligence through classroom debates: a student-centric approach. In International Conference on Advancing and Redesigning Education (pp. 615-622). Singapore: Springer Nature Singapore.
  7. Al Amien, J., Ab Ghani, H., Saleh, N.I.M., Ismanto, E. and Gunawan, R., 2023. Intrusion detection system for imbalance ratio class using weighted XGBoost classifier. TELKOMNIKA (Telecommunication Computing Electronics and Control), 21(5), pp.1102-1112.
  8. Ismanto, E., Ghani, H.A. and Saleh, N.I.B.M., 2023. A comparative study of machine learning algorithms for virtual learning environment performance prediction. IAES International Journal of Artificial Intelligence.
  9. Pinandita, T., Mohamad, S.N.M., Azman, F.N. and Himawan, H., 2023. An analysis of technology issues in mobile augmented reality. Informatica, 47(7).
  10. Che Ku Mohd, C.K.N., Shahbodin, F., Azman, F.N., Yuwono, J., Gunarhadi, G., Yusuf, M. and Supratiwi, M., 2023. Digital Screening Tools for Autism Spectrum Disorder: Opportunities and Challenges. Journal of Namibian Studies, 33.
Social Analytics and Intelligence Lab (SAIL)