Real-time visual inspection system for grading fruits using computer vision and deep learning techniques N Ismail, OA Malik Information Processing in Agriculture 9 (1), 24-37, 2022 | 139 | 2022 |
Integrated TOC prediction and source rock characterization using machine learning, well logs and geochemical analysis: case study from the Jurassic source rocks in Shams Field … MR Shalaby, N Jumat, D Lai, O Malik Journal of Petroleum Science and Engineering 176, 369-380, 2019 | 79 | 2019 |
Batch adsorption studies of the removal of methyl violet 2B by soya bean waste: isotherm, kinetics and artificial neural network modelling MRR Kooh, MK Dahri, LBL Lim, LH Lim, OA Malik Environmental Earth Sciences 75, 1-14, 2016 | 72 | 2016 |
Machine-learning-based cyclic voltammetry behavior model for supercapacitance of Co-doped ceria/rGO nanocomposite S Parwaiz, OA Malik, D Pradhan, MM Khan Journal of chemical information and modeling 58 (12), 2517-2527, 2018 | 33 | 2018 |
Phytoextraction potential of water fern (Azolla pinnata) in the removal of a hazardous dye, methyl violet 2B: Artificial neural network modelling MRR Kooh, LBL Lim, LH Lim, OA Malik International journal of phytoremediation 20 (5), 424-431, 2018 | 33 | 2018 |
Thermal maturity and TOC prediction using machine learning techniques: case study from the Cretaceous–Paleocene source rock, Taranaki Basin, New Zealand MR Shalaby, OA Malik, D Lai, N Jumat, MA Islam Journal of Petroleum Exploration and Production Technology, 1-19, 2020 | 32 | 2020 |
Software level green computing for large scale systems F Fakhar, B Javed, R ur Rasool, O Malik, K Zulfiqar Journal of Cloud Computing: Advances, Systems and Applications 1, 1-17, 2012 | 31 | 2012 |
An intelligent recovery progress evaluation system for ACL reconstructed subjects using integrated 3-D kinematics and EMG features OA Malik, SMNA Senanayake, D Zaheer IEEE journal of biomedical and health informatics 19 (2), 453-463, 2014 | 30 | 2014 |
A comparative analysis on blockchain versus centralized authentication architectures for IoT-enabled smart devices in smart cities: a comprehensive review, recent advances, and … U Khalil, OA Malik, M Uddin, CL Chen Sensors 22 (14), 5168, 2022 | 29 | 2022 |
Automated real-time identification of medicinal plants species in natural environment using deep learning models—a case study from Borneo Region OA Malik, N Ismail, BR Hussein, U Yahya Plants 11 (15), 1952, 2022 | 28 | 2022 |
A blockchain footprint for authentication of IoT-enabled smart devices in smart cities: state-of-the-art advancements, challenges and future research directions U Khalil, OA Malik, S Hussain IEEE Access 10, 76805-76823, 2022 | 27 | 2022 |
A knowledge-based intelligent framework for anterior cruciate ligament rehabilitation monitoring SMNA Senanayake, OA Malik, PM Iskandar, D Zaheer Applied Soft Computing 20, 127-141, 2014 | 24 | 2014 |
Automated classification of tropical plant species data based on machine learning techniques and leaf trait measurements BR Hussein, OA Malik, WH Ong, JWF Slik Computational Science and Technology: 6th ICCST 2019, Kota Kinabalu …, 2020 | 23 | 2020 |
Semantic segmentation of herbarium specimens using deep learning techniques BR Hussein, OA Malik, WH Ong, JWF Slik Computational Science and Technology: 6th ICCST 2019, Kota Kinabalu …, 2020 | 21 | 2020 |
Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy BR Hussein, OA Malik, WH Ong, JWF Slik Ecological Informatics 61, 101243, 2021 | 20 | 2021 |
Cybersafe Capabilities and Utilities for Smart Cities K Kalinaki, NN Thilakarathne, HR Mubarak, OA Malik, M Abdullatif Cybersecurity for Smart Cities: Practices and Challenges, 71-86, 2023 | 18 | 2023 |
Establishing site response-based micro-zonation by applying machine learning techniques on ambient noise data: a case study from Northern Potwar Region, Pakistan SMT Qadri, OA Malik Environmental Earth Sciences 80, 1-15, 2021 | 18 | 2021 |
Water quality investigation in Brunei Darussalam: investigation of the influence of climate change. SH Gödeke, OA Malik, DTC Lai, A Bretzler, M Schirmer, NH Mansor | 18 | 2020 |
Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review BR Hussein, OA Malik, WH Ong, JWF Slik Ecological Informatics 69, 101641, 2022 | 17 | 2022 |
Automated extraction of phenotypic leaf traits of individual intact herbarium leaves from herbarium specimen images using deep learning based semantic segmentation BR Hussein, OA Malik, WH Ong, JWF Slik Sensors 21 (13), 4549, 2021 | 17 | 2021 |