1.
Chen Soong Der; MOHD HAZLI BIN MOHAMED ZABIL. An Ensemble-Based Hybrid Decision Framework For Baggage Threat Detection Using Interval-Valued Spherical Fuzzy Sets. Engineering Applications Of Artificial Intelligence (Dec 2025). Journal. Cited: ISI
2.
MOHD HAZLI BIN MOHAMED ZABIL. Validation Framework For Robust And Explainable Machine Learning Models In Autism Spectrum Disorder Triage . Mesopotamian Journal Of Big Data (Nov 2025). Journal. Cited: SCOPUS
3.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. A Novel Hybrid Feature Selection Framework For Enhancing Accuracy And Interpretability In Machine Learning Model For Student Performance Prediction. International Journal Of Applied Mathematics (Oct 2025). Journal. Cited: SCOPUS
4.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. A Novel Hybrid Feature Selection Framework For Enhancing Accuracy And Interpretability In Machine Learning Model For Student Performance Prediction. International Journal Of Applied Mathematics (Ijam) (Oct 2025). Journal. Cited: SCOPUS
5.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng; MOAMIN A MAHMOUD. Predictive Modeling In Communication Studies: A Systematic Review Of Feature Selection Techniques For Data-Driven Insights. Review Of Communication Research Journal (Sep 2025). Journal. Cited: SCOPUS
6.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Predictive Modeling In Communication Studies: A Systematic Review Of Feature Selection Techniques For Data-Driven Insights. Review Of Communication Research Journal (Sep 2025). Journal. Cited: SCOPUS
7.
YUNUS BIN YUSOFF; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Statistical Sem-Ann Approaches For Metaverse Adoption In
Education. Statistical Sem-Ann Approaches For Metaverse Adoption In
Education (Sep 2025). Journal. Cited: SCOPUS
8.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Predictive Modeling In Communication Studies: A Systematic Review Of Feature Selection Techniques For Data-Driven Insights. Review Of Communication Research Journal (Sep 2025). Journal. Cited: ISI
9.
MOHD HAZLI BIN MOHAMED ZABIL. Strategies For Protection Against Adversarial Attacks In Ai Models: An In-Depth Review. Journal Of Intelligent Systems (Jul 2025). Journal. Cited: ISI
10.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Human Activity Recognition: The Role Of Hybrid Feature Extraction Technique In Accelerometer Data Using A Voting Classifier Approach. 2024 Ieee International Conference On Computing (Icoco 2024) (Mar 2025). Conference Proceeding. Cited: Indexing In Progress
11.
YUNUS BIN YUSOFF; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Factors Effecting On The Adoption Of Metaverse In Higher Education: A Systematic Literature Review. Journal Of Information Systems Engineering And Management (Mar 2025). Journal. Cited: SCOPUS
12.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Human Activity Recognition: The Role Of Hybrid Feature Extraction Technique In Accelerometer Data Using A Voting Classifier Approach. 2024 Ieee International Conference On Computing (Icoco) (Jan 2025). Conference Proceeding. Cited: SCOPUS
13.
MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Interpretable Machine Learning For Complex Human Activity Recognition: A Voting Classifier Approach Using Adaboost And Random Forest. 2024 Ieee International Conference On Computing (Icoco) (Jan 2025). Conference Proceeding. Cited: SCOPUS
14.
MOHD HAZLI BIN MOHAMED ZABIL. Fuzzy Evaluation And Benchmarking Framework For Robust Machine Learning Model In Real-Time Autism Triage Applications.. International Journal Of Computational Intelligence Systems (Jun 2024). Journal. Cited: ISI
15.
MOHD HAZLI BIN MOHAMED ZABIL. Towards The Selection Of Distance Metrics For K-Nn Classifier In Students' Performance Prediction Modeling. 2023 Ieee International Conference On Computing (Icoco) (Oct 2023). Conference Proceeding. Cited: Indexing In Progress
16.
MOHD HAZLI BIN MOHAMED ZABIL. Selecting Machine Learning Models For Student Performance Prediction Aligned With Pedagogical Objectives. 2023 Ieee International Conference On Computing (Icoco) (Oct 2023). Conference Proceeding. Cited: Indexing In Progress
17.
MOHD HAZLI BIN MOHAMED ZABIL. Selecting Machine Learning Students Performance Prediction Models In Compliance With Pedagogical Objectives. Ieee International Conference On Computing (Icoco2023) (Oct 2023). Conference Proceeding. Cited: SCOPUS
18.
MOHD HAZLI BIN MOHAMED ZABIL. Towards The Selection Of Distance Metrics For K-Nn Classifier In Students' Performance Prediction Modeling. 2023 Ieee International Conference On Computing (Icoco 2023) (Oct 2023). Conference Proceeding. Cited: SCOPUS
19.
MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Image Denoising Using Hybrid Deep Learning Approach And Self-Improved Orca Prediction Algorithm. Mdpi Technologies (Aug 2023). Journal. Cited: ISI
20.
MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Image Denoising Using Hybrid Deep Learning Approach And
Self-Improved Orca Predation Algorithm. Mdpi Technologies (Aug 2023). Journal. Cited: ISI