| A neural network-inspired approach for improved and true movie recommendations M Ibrahim, IS Bajwa, R Ul-Amin, B Kasi Computational intelligence and neuroscience 2019, 2019 | 23 | 2019 |
| Railway track inspection using deep learning based on audio to spectrogram conversion: An on-the-fly approach MSA Hashmi, M Ibrahim, IS Bajwa, HUR Siddiqui, F Rustam, E Lee, ... Sensors 22 (5), 1983, 2022 | 19 | 2022 |
| Design and application of a multi-variant expert system using apache hadoop framework M Ibrahim, IS Bajwa Sustainability 10 (11), 4280, 2018 | 16 | 2018 |
| Multi-class skin cancer classification using vision transformer networks and convolutional neural network-based pre-trained models MA Arshed, S Mumtaz, M Ibrahim, S Ahmed, M Tahir, M Shafi Information 14 (7), 415, 2023 | 14 | 2023 |
| An intelligent hybrid neural collaborative filtering approach for true recommendations M Ibrahim, IS Bajwa, N Sarwar, F Hajjej, HA Sakr IEEE Access, 2023 | 13 | 2023 |
| Improved Hybrid Deep Collaborative Filtering Approach for True Recommendations. M Ibrahim, IS Bajwa, N Sarwar, HA Waheed, MZ Hasan, MZ Hussain Computers, Materials & Continua 74 (3), 2023 | 8 | 2023 |
| NoSQL database generation using SAT solver M Ibrahim, N Sarwar 2016 Sixth International Conference on Innovative Computing Technology …, 2016 | 7 | 2016 |
| IoT-Enabled Intelligent System for the Radiation Monitoring and Warning Approach M Saifullah, IS Bajwa, M Ibrahim, M Asghar Mobile Information Systems 2022, 2022 | 3 | 2022 |
| Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model MA Arshed, S Mumtaz, M Ibrahim, C Dewi, M Tanveer, S Ahmed Computers 13 (1), 31, 2024 | 2 | 2024 |
| Unmasking Deception: Empowering Deepfake Detection with Vision Transformer Network MA Arshed, A Alwadain, R Faizan Ali, S Mumtaz, M Ibrahim, A Muneer Mathematics 11 (17), 3710, 2023 | 2 | 2023 |
| IoT Network Anomaly Detection in Smart Homes Using Machine Learning N Sarwar, IS Bajwa, MZ Hussain, M Ibrahim, K Saleem IEEE Access, 2023 | 1 | 2023 |
| Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images MA Arshed, M Ibrahim, S Mumtaz, T Ali, GS Choi IEEE Access, 2024 | | 2024 |
| Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional+ Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images MA Arshed, M Ibrahim, S Mumtaz, M Tanveer, S Ahmed Information 14 (12), 663, 2023 | | 2023 |
