| Enhancing image annotation technique of fruit classification using a deep learning approach N Mamat, MF Othman, R Abdulghafor, AA Alwan, Y Gulzar Sustainability 15 (2), 901, 2023 | 104 | 2023 |
| Classifying cardiac arrhythmia from ECG signal using 1D CNN deep learning model AA Ahmed, W Ali, TAA Abdullah, SJ Malebary Mathematics 11 (3), 562, 2023 | 86 | 2023 |
| A review of interpretable ML in healthcare: taxonomy, applications, challenges, and future directions TAA Abdullah, MSM Zahid, W Ali Symmetry 13 (12), 2439, 2021 | 79 | 2021 |
| A review of cyber security challenges attacks and solutions for Internet of Things based smart home TA Abdullah, W Ali, S Malebary, AA Ahmed Int. J. Comput. Sci. Netw. Secur 19 (9), 139, 2019 | 56 | 2019 |
| Recent advances in passive UHF-RFID tag antenna design for improved read range in product packaging applications: A comprehensive review R Abdulghafor, S Turaev, H Almohamedh, R Alabdan, B Almutairi, ... IEEE Access 9, 63611-63635, 2021 | 49 | 2021 |
| Classification of cardiac arrhythmia using a convolutional neural network and bi-directional long short-term memory SU Hassan, MS Mohd Zahid, TAA Abdullah, K Husain Digital health 8, 20552076221102766, 2022 | 44 | 2022 |
| B-LIME: An improvement of LIME for interpretable deep learning classification of cardiac arrhythmia from ECG signals TAA Abdullah, MSM Zahid, W Ali, SU Hassan Processes 11 (2), 595, 2023 | 28 | 2023 |
| Empirical study on intelligent android malware detection based on supervised machine learning TAA Abdullah, W Ali, R Abdulghafor International Journal of Advanced Computer Science and Applications 11 (4), 2020 | 27 | 2020 |
| Body language analysis in healthcare: an overview R Abdulghafor, S Turaev, MAH Ali Healthcare 10 (7), 1251, 2022 | 26 | 2022 |
| An overview of the consensus problem in the control of multi-agent systems R Abdulghafor, S Shah Abdullah, S Turaev, M Othman Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2018 | 25 | 2018 |
| The dynamics of some extreme doubly stochastic quadratic operators F Shahidi, R Ganikhodzhaev, R Abdulghafor Middle East J. Sci. Res 13, 59-63, 2013 | 24 | 2013 |
| Enhancing DDoS attack detection and mitigation in SDN using an ensemble online machine learning model AA Alashhab, MS Zahid, B Isyaku, AA Elnour, W Nagmeldin, ... IEEE Access, 2024 | 22 | 2024 |
| Evaluation and management of diabetic foot: a multicenter study conducted at Rawalpindi, Islamabad SF Shah, S Hameed, Z Khawaja, T Abdullah, SH Waqar, MA Zahid Ann Pak Inst Med Sci 7 (4), 233-237, 2011 | 22 | 2011 |
| An analysis of body language of patients using artificial intelligence R Abdulghafor, A Abdelmohsen, S Turaev, MAH Ali, S Wani Healthcare 10 (12), 2504, 2022 | 19 | 2022 |
| A novel inertia moment estimation algorithm collaborated with active force control scheme for wheeled mobile robot control in constrained environments MAH Ali, MSA Radzak, M Mailah, N Yusoff, B Abd Razak, MSA Karim, ... Expert Systems with Applications 183, 115454, 2021 | 18 | 2021 |
| Consensus of fractional nonlinear dynamics stochastic operators for multi-agent systems R Abdulghafor, S Turaev Information Fusion 44, 1-21, 2018 | 18 | 2018 |
| Novel algorithm for mobile robot path planning in constrained environment A Muhammad, MAH Ali, S Turaev, IH Shanono, F Hujainah, MNM Zubir, ... Computers, Materials & Continua 71 (2), 2697-2719, 2022 | 17 | 2022 |
| Linear and nonlinear stochastic distribution for consensus problem in multi-agent systems R Abdulghafor, SS Abdullah, S Turaev, A Zeki, I Al-Shaikhli Neural Computing and Applications 32, 261-277, 2020 | 17 | 2020 |
| Dynamics of doubly stochastic quadratic operators on a finite-dimensional simplex R Abdulghafor, F Shahidi, A Zeki, S Turaev Open Mathematics 14 (1), 509-519, 2016 | 17 | 2016 |
| The convergence consensus of multi-agent systems controlled via doubly stochastic quadratic operators R Abdulghafor, S Turaev, A Zeki, F Shahidi 2015 International symposium on agents, multi-agent systems and robotics …, 2015 | 17 | 2015 |
