CBR and Neural Networks Based Technique for Predictive Prefetching. - Sohail Sarwar; Zia Ul-Qayyum; Owais Ahmed Malik (MICAI (2), 2010)

A hybrid intelligent system for recovery and performance evaluation after. - S. M. N. Arosha Senanayake; Owais Ahmed Malik; Pg. Mohammad Iskandar; Dansih Zaheer (ISDA, 2012)

A hybrid intelligent system to improve predictive accuracy for cache prefetching. - Sohail Sarwar; Zia Ul-Qayyum; Owais Ahmed Malik (Expert Syst. Appl., 2012)

Software level green computing for large scale systems. - Faiza Fakhar; Barkha Javed; Raihan Ur Rasool; Owais Ahmed Malik; Khurram Zulfiqar (J. Cloud Comput., 2012)

3-D kinematics and neuromuscular signals' integration for post ACL reconstruction recovery assessment. - S. M. N. Arosha Senanayake; Owais Ahmed Malik; Mohammad Iskandar; Danish Zaheer (EMBC, 2013)

Anterior cruciate ligament recovery monitoring system using hybrid computational intelligent techniques. - S. M. N. Arosha Senanayake; Owais Ahmed Malik; Pg. Mohammad Iskandar; Dansih Zaheer (Int. J. Hybrid Intell. Syst., 2013)

An adaptive interval type-2 fuzzy logic framework for classification of gait patterns of anterior cruciate ligament reconstructed subjects. - Owais Ahmed Malik; S. M. N. Arosha Senanayake; Dansih Zaheer (FUZZ-IEEE, 2014)

Artificial neural network based gait patterns identification using neuromuscular signals and soft tissue deformation analysis of lower limbs muscles. - S. M. N. Arosha Senanayake; Joko Triloka; Owais Ahmed Malik; Pg. Mohammad Iskandar (IJCNN, 2014)

A knowledge-based intelligent framework for anterior cruciate ligament rehabilitation monitoring. - S. M. N. Arosha Senanayake; Owais Ahmed Malik; Pg. Mohammad Iskandar; Dansih Zaheer (Appl. Soft Comput., 2014)

An Intelligent Recovery Progress Evaluation System for ACL Reconstructed Subjects Using Integrated 3-D Kinematics and EMG Features. - Owais Ahmed Malik; S. M. N. Arosha Senanayake; Dansih Zaheer (IEEE J. Biomed. Health Informatics, 2015)

Pattern Recognition of Brunei Soldier's Based on 3-Dimensional Kinematics and Spatio-Temporal Parameters. - D. N. Filzah P. Damit; S. M. N. Arosha Senanayake; Owais Ahmed Malik; P. H. N. Jaidi P. Tuah (ACIIDS (2), 2016)

A Real-Time Intelligent Biofeedback Gait Patterns Analysis System for Knee Injured Subjects. - Putri Wulandari; S. M. N. Arosha Senanayake; Owais Ahmed Malik (ACIIDS (2), 2016)

Neuromuscular Fatigue Analysis of Soldiers Using DWT Based EMG and EEG Data Fusion During Load Carriage. - D. N. Filzah P. Damit; S. M. N. Arosha Senanayake; Owais Ahmed Malik; Nor Jaidi Tuah (ACIIDS (2), 2017)

Multivariate Time Series Clustering Analysis for Human Balance Data. - Owais Ahmed Malik; Daphne Teck Ching Lai (MIWAI, 2017)

Machine-Learning-Based Cyclic Voltammetry Behavior Model for Supercapacitance of Co-Doped Ceria/rGO Nanocomposite. - Shaikh Parwaiz; Owais Ahmed Malik; Debabrata Pradhan; Mohammad Mansoob Khan (J. Chem. Inf. Model., 2018)

Exploring Digital Architectural Heritage in Brunei Darussalam: Towards Heritage Safeguarding, Smart Tourism, and Interactive Education. - Rui Oliveira Lopes; Owais Ahmed Malik; Asiyah Az-Zahra Ahmad Kumpoh; Chester Keasberry; Ong Wee Hong; Shirley Chin Wei Lee; Yong Liu (BigMM, 2019)

Investigating Automated Hyper-Parameter Optimization for a Generalized Path Loss Model. - Usman Sammani Sani; Daphne Teck Ching Lai; Owais Ahmed Malik (CECNet, 2021)

Comparison of Deep Q-Learning, Q-Learning and SARSA Reinforced Learning for Robot Local Navigation. - Hafiq Anas; Wee-Hong Ong; Owais Ahmed Malik (RiTA, 2021)

Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review. - Burhan Rashid Hussein; Owais Ahmed Malik; Wee-Hong Ong; Johan Willem Frederik Slik (CoRR, 2021)

Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy. - Burhan Rashid Hussein; Owais Ahmed Malik; Wee-Hong Ong; Johan Willem Frederik Slik (Ecol. Informatics, 2021)

Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation. - Burhan Rashid Hussein; Owais Ahmed Malik; Wee-Hong Ong; Johan Willem Frederik Slik (Sensors, 2021)

Decentralized Smart City of Things: A Blockchain Tokenization-enabled Architecture for Digitization and Authentication of Assets in Smart Cities. - Usman Khalil; Owais Ahmed Malik; Ong Wee Hong; Mueen Uddin (CCIOT, 2022)

Evolutionary Simulated Annealing for Transfer Learning Optimization in Plant-Species Identification Domain. - Gusti Ahmad Fanshuri Alfarisy; Owais Ahmed Malik; Ong Wee Hong (CIVEMSA, 2022)

Proxy-Terms Based Query Obfuscation Technique for Private Web Search. - Shariq Bashir; Daphne Teck Ching Lai; Owais Ahmed Malik (IEEE Access, 2022)

A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions. - Usman Khalil; Mueen Uddin; Owais Ahmed Malik; Saddam Hussain (IEEE Access, 2022)

Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam. - Usman Khalil; Owais Ahmed Malik; Daphne Teck Ching Lai; Ong Sok King (CoRR, 2022)

DSCOT: An NFT-Based Blockchain Architecture for the Authentication of IoT-Enabled Smart Devices in Smart Cities. - Usman Khalil; Owais Ahmed Malik; Ong Wee Hong; Mueen Uddin (CoRR, 2022)

Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review. - Burhan Rashid Hussein; Owais Ahmed Malik; Wee-Hong Ong; Johan Willem Frederik Slik (Ecol. Informatics, 2022)

Dynamic Regressor/Ensemble Selection for a Multi-Frequency and Multi-Environment Path Loss Prediction. - Usman Sammani Sani; Owais Ahmed Malik; Daphne Teck Ching Lai (Inf., 2022)

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions. - Usman Khalil; Owais Ahmed Malik; Mueen Uddin; Chin-Ling Chen (Sensors, 2022)

Segmentation for Multi-Rock Types on Digital Outcrop Photographs Using Deep Learning Techniques. - Owais Ahmed Malik; Idrus Puasa; Daphne Teck Ching Lai (Sensors, 2022)

Quad-Channel Contrastive Prototype Networks for Open-Set Recognition in Domain-Specific Tasks. - Gusti Ahmad Fanshuri Alfarisy; Owais Ahmed Malik; Ong Wee Hong (IEEE Access, 2023)

Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots. - Hafiq Anas; Ong Wee Hong; Owais Ahmed Malik (CoRR, 2023)

Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal. - Gusti Ahmad Fanshuri Alfarisy; Owais Ahmed Malik; Ong Wee Hong (CoRR, 2023)

FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net. - Kassim Kalinaki; Owais Ahmed Malik; Daphne Teck Ching Lai (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Corrigendum to "Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review" [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641]. - Burhan Rashid Hussein; Owais Ahmed Malik; Wee-Hong Ong; Johan Willem Frederik Slik (Ecol. Informatics, 2023)

Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images. - Kassim Kalinaki; Owais Ahmed Malik; Daphne Teck Ching Lai; Rahayu Sukmaria Sukri; Rodzay bin Haji Abdul Wahab (Ecol. Informatics, 2023)

A Comparison of Imitation Learning Pipelines for Autonomous Driving on the Effect of Change in Ego-vehicle. - Noorsyamimi Abdur Ajak; Wee-Hong Ong; Owais Ahmed Malik (IV, 2024)

Forest Canopy Cover Mapping in High-Resolution Multisource Satellite Imagery Using Attention Recurrent Residual U-Net. - Kassim Kalinaki; Owais Ahmed Malik; Daphne Teck Ching Lai (TENCON, 2024)

Deep Explainable Ensemble for Medical Image Analysis. - Hassaan Haider Syed; Nagender Aneja; Owais Ahmed Malik; Mohammed Abdul Rahman Minhaj (TENCON, 2024)

Towards open domain-specific recognition using Quad-Channel Self-Attention Reciprocal Point Learning and Autoencoder. - Gusti Ahmad Fanshuri Alfarisy; Owais Ahmed Malik; Ong Wee Hong (Knowl. Based Syst., 2024)

A Novel NFT Solution for Assets Digitization and Authentication in Cyber-Physical Systems: Blueprint and Evaluation. - Usman Khalil; Mueen Uddin; Owais Ahmed Malik; Ong Wee Hong (IEEE Open J. Comput. Soc., 2024)

Towards Unsupervised Domain-Specific Open-World Recognition. - Gusti Ahmad Fanshuri Alfarisy; Owais Ahmed Malik; Ong Wee Hong (Neurocomputing, 2025)

Mapping wildfire susceptibility in the tropical region of Brunei: a machine learning and explainable AI approach using google earth engine with remote sensing data. - Rufai Yusuf Zakari; Owais Ahmed Malik; Wee-Hong Ong (Earth Sci. Informatics, 2025)