| A review on energy consumption optimization techniques in IoT based smart building environments AS Shah, H Nasir, M Fayaz, A Lajis, A Shah Information 10 (3), 108, 2019 | 148 | 2019 |
| A prediction methodology of energy consumption based on deep extreme learning machine and comparative analysis in residential buildings M Fayaz, DH Kim Electronics 7 (10), 222, 2018 | 117 | 2018 |
| Machine learning-based EEG signals classification model for epileptic seizure detection Aayesha, MB Qureshi, M Afzaal, MS Qureshi, M Fayaz Multimedia Tools and Applications 80 (12), 17849-17877, 2021 | 109 | 2021 |
| A topical review on machine learning, software defined networking, internet of things applications: Research limitations and challenges Imran, Z Ghaffar, A Alshahrani, M Fayaz, AM Alghamdi, J Gwak Electronics 10 (8), 880, 2021 | 74 | 2021 |
| Machine-learning based hybrid-feature analysis for liver cancer classification using fused (MR and CT) images S Naeem, A Ali, S Qadri, W Khan Mashwani, N Tairan, H Shah, M Fayaz, ... Applied Sciences 10 (9), 3134, 2020 | 74 | 2020 |
| Energy consumption optimization and user comfort management in residential buildings using a bat algorithm and fuzzy logic M Fayaz, DH Kim Energies 11 (1), 161, 2018 | 67 | 2018 |
| A framework for prediction of household energy consumption using feed forward back propagation neural network M Fayaz, H Shah, AM Aseere, WK Mashwani, AS Shah Technologies 7 (2), 30, 2019 | 60 | 2019 |
| Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions M Imran, U Zaman, J Imtiaz, M Fayaz, J Gwak Electronics 10 (20), 2501, 2021 | 55 | 2021 |
| An optimization scheme for IoT based smart greenhouse climate control with efficient energy consumption I Ullah, M Fayaz, M Aman, DH Kim Computing 104 (2), 433-457, 2022 | 52 | 2022 |
| Energy consumption optimization and user comfort maximization in smart buildings using a hybrid of the firefly and genetic algorithms F Wahid, M Fayaz, A Aljarbouh, M Mir, M Aamir, Imran Energies 13 (17), 4363, 2020 | 52 | 2020 |
| Improving accuracy of the Kalman filter algorithm in dynamic conditions using ANN-based learning module I Ullah, M Fayaz, DH Kim Symmetry 11 (1), 94, 2019 | 49 | 2019 |
| Ann based learning to kalman filter algorithm for indoor environment prediction in smart greenhouse I Ullah, M Fayaz, N Naveed, D Kim IEEe Access 8, 159371-159388, 2020 | 43 | 2020 |
| Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm AS Shah, H Nasir, M Fayaz, A Lajis, I Ullah, A Shah IEEE Access 8, 204744-204762, 2020 | 41 | 2020 |
| An efficient and secure session key management scheme in wireless sensor network G Mehmood, MS Khan, A Waheed, M Zareei, M Fayaz, T Sadad, N Kama, ... Complexity 2021 (1), 6577492, 2021 | 35 | 2021 |
| An Adaptive Approach Based on Resource-Awareness Towards Power-Efficient Real-Time Periodic Task Modeling on Embedded IoT Devices S Ahmad, S Malik, I Ullah, M Fayaz, DH Park, K Kim, DH Kim Processes, 2018 | 35 | 2018 |
| Fault location and detection techniques in power distribution systems with distributed generation: Kenitra City (Morocco) as a case study M Azeroual, Y Boujoudar, K Bhagat, L El Iysaouy, A Aljarbouh, ... Electric Power Systems Research 209, 108026, 2022 | 33 | 2022 |
| A stochastic approach towards travel route optimization and recommendation based on users constraints using Markov chain S Ahmad, I Ullah, F Mehmood, M Fayaz, DH Kim Ieee Access 7, 90760-90776, 2019 | 33 | 2019 |
| Effect of feature selection on the accuracy of music popularity classification using machine learning algorithms F Khan, I Tarimer, HS Alwageed, BC Karadağ, M Fayaz, AB Abdusalomov, ... Electronics 11 (21), 3518, 2022 | 32 | 2022 |
| Software defect prediction using artificial neural networks: A systematic literature review MA Khan, NS Elmitwally, S Abbas, S Aftab, M Ahmad, M Fayaz, F Khan Scientific Programming 2022 (1), 2117339, 2022 | 31 | 2022 |
| Prediction of energy consumption in the buildings using multi-layer perceptron and random forest F Wahid, R Ghazali, AS Shah, M Fayaz IJAST 101, 13-22, 2017 | 31 | 2017 |
Abdul Salam ShahPost Doctoral Fellow at Department of Information Systems, International Islamic University Malaysia在 iium.edu.my 的电子邮件经过验证
