| From big data to big data mining: challenges, issues, and opportunities D Che, M Safran, Z Peng Database Systems for Advanced Applications: 18th International Conference …, 2013 | 337 | 2013 |
| Real-time recommendation algorithms for crowdsourcing systems M Safran, D Che Applied Computing and Informatics 13 (1), 47-56, 2017 | 57 | 2017 |
| Improving relevance prediction for focused Web crawlers MS Safran, A Althagafi, D Che 2012 IEEE/ACIS 11th International Conference on Computer and Information …, 2012 | 39 | 2012 |
| Efficient Learning-Based Recommendation Algorithms for Top-N Tasks and Top-N Workers in Large-Scale Crowdsourcing Systems M Safran, D Che ACM Transactions on Information Systems (TOIS) 37 (1), 1-46, 2018 | 28 | 2018 |
| Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time MR Islam, MM Kabir, MF Mridha, S Alfarhood, M Safran, D Che Sensors 23 (11), 5204, 2023 | 19 | 2023 |
| From big data to big data mining: challenges, issues, and opportunities C Dunren, M Safran, Z Peng Published in the Proc. Of International Conference on Database Systems for …, 2013 | 16 | 2013 |
| Arduino and Android Powered Object Tracking Robot M Safran, S Haar Southern Illinois University Carbondale, 2007 | 12 | 2007 |
| Gld-det: Guava leaf disease detection in real-time using lightweight deep learning approach based on mobilenet M Mustak Un Nobi, M Rifat, MF Mridha, S Alfarhood, M Safran, D Che Agronomy 13 (9), 2240, 2023 | 4 | 2023 |
| A security novel for a networked database M Hamdi, M Safran, WC Hou 2014 International Conference on Computational Science and Computational …, 2014 | 4 | 2014 |
| DunrenChe Improving Relevance Prediction for Focused Web Crawlers, in the proceding of 2012 IEEE MS Safran, A Althagafi ACIS 11th International Conference on Computer and Information Science, 0 | 4 | |
| Detection of drowsiness among drivers using novel deep convolutional neural network model F Majeed, U Shafique, M Safran, S Alfarhood, I Ashraf Sensors 23 (21), 8741, 2023 | 3 | 2023 |
| Addressing uncertainty in imbalanced histopathology image classification of her2 breast cancer: An interpretable ensemble approach with threshold filtered single instance … MSH Shovon, MF Mridha, KM Hasib, S Alfarhood, M Safran, D Che IEEE Access 11, 122238-122251, 2023 | 3 | 2023 |
| Enhancing Sustainable Urban Energy Management through Short-Term Wind Power Forecasting Using LSTM Neural Network K Kanagarathinam, SK Aruna, S Ravivarman, M Safran, S Alfarhood, ... Sustainability 15 (18), 13424, 2023 | 3 | 2023 |
| Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT T Sadad, M Safran, I Khan, S Alfarhood, R Khan, I Ashraf Sensors 23 (18), 7697, 2023 | 3 | 2023 |
| Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel I Mahmud, MM Kabir, MF Mridha, S Alfarhood, M Safran, D Che Diagnostics 13 (15), 2540, 2023 | 3 | 2023 |
| DPXception: A Lightweight CNN for Image-based Date Palm Species Classification M Safran, W Alrajhi, S Alfarhood Frontiers in Plant Science 14, 1281724, 2024 | 2 | 2024 |
| Detecting thyroid disease using optimized machine learning model based on differential evolution P Gupta, F Rustam, K Kanwal, W Aljedaani, S Alfarhood, M Safran, ... International Journal of Computational Intelligence Systems 17 (1), 3, 2024 | 2 | 2024 |
| Construction of diverse water wave structures for coupled nonlinear fractional Drinfel’d-Sokolov-Wilson model with Beta derivative and its modulus instability M Shakeel, SA AlQahtani, MJU Rehman, G Kudra, J Awrejcewicz, ... Scientific Reports 13 (1), 17528, 2023 | 2 | 2023 |
| Privacy-Preserving On-Screen Activity Tracking and Classification in E-Learning Using Federated Learning D Mistry, MF Mridha, M Safran, S Alfarhood, AK Saha, D Che IEEE Access, 2023 | 2 | 2023 |
| Image-Based Arabian Camel Breed Classification Using Transfer Learning on CNNs S Alfarhood, A Alrayeh, M Safran, M Alfarhood, D Che Applied Sciences 13 (14), 8192, 2023 | 2 | 2023 |
