| A novel deep learning method for detection and classification of plant diseases W Albattah, M Nawaz, A Javed, M Masood, S Albahli Complex & Intelligent Systems, 1-18, 2022 | 133 | 2022 |
| Image‐based detection of plant diseases: From classical machine learning to deep learning journey RU Khan, K Khan, W Albattah, AM Qamar Wireless Communications and Mobile Computing 2021 (1), 5541859, 2021 | 79 | 2021 |
| Using indirect coupling metrics to predict package maintainability and testability S Almugrin, W Albattah, A Melton Journal of systems and software 121, 298-310, 2016 | 64 | 2016 |
| A Real‐Time Framework for Human Face Detection and Recognition in CCTV Images R Ullah, H Hayat, AA Siddiqui, UA Siddiqui, J Khan, F Ullah, S Hassan, ... Mathematical Problems in Engineering 2022 (1), 3276704, 2022 | 58 | 2022 |
| Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms S Albahli, W Albattah Journal of X-ray Science and Technology 28 (5), 841-850, 2020 | 51 | 2020 |
| Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network W Albattah, A Javed, M Nawaz, M Masood, S Albahli Frontiers in Plant Science 13, 808380, 2022 | 47 | 2022 |
| Crowd monitoring and localization using deep convolutional neural network: A review A Khan, J Ali Shah, K Kadir, W Albattah, F Khan Applied Sciences 10 (14), 4781, 2020 | 43 | 2020 |
| Improving the efficiency of multistep short-term electricity load forecasting via R-CNN with ML-LSTM MF Alsharekh, S Habib, DA Dewi, W Albattah, M Islam, S Albahli Sensors 22 (18), 6913, 2022 | 40 | 2022 |
| Advances and trends in real time visual crowd analysis K Khan, W Albattah, RU Khan, AM Qamar, D Nayab Sensors 20 (18), 5073, 2020 | 37 | 2020 |
| AEI-DNET: a novel densenet model with an autoencoder for the stock market predictions using stock technical indicators S Albahli, T Nazir, A Mehmood, A Irtaza, A Alkhalifah, W Albattah Electronics 11 (4), 611, 2022 | 34 | 2022 |
| Abnormal activity recognition from surveillance videos using convolutional neural network S Habib, A Hussain, W Albattah, M Islam, S Khan, RU Khan, K Khan Sensors 21 (24), 8291, 2021 | 28 | 2021 |
| Hajj crowd management using CNN-based approach W Albattah, MHK Khel, S Habib, M Islam, S Khan, K Abdul Kadir Tech Science Press, 2020 | 25 | 2020 |
| Taxonomy of anomaly detection techniques in crowd scenes A Aldayri, W Albattah Sensors 22 (16), 6080, 2022 | 24 | 2022 |
| Deep transfer learning for COVID-19 prediction: case study for limited data problems S Albahli, W Albattah Current medical imaging 17 (8), 973, 2021 | 24 | 2021 |
| Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification W Albattah, M Masood, A Javed, M Nawaz, S Albahli Complex & Intelligent Systems 9 (2), 1299-1316, 2023 | 23 | 2023 |
| Crowd counting using end-to-end semantic image segmentation K Khan, RU Khan, W Albattah, D Nayab, AM Qamar, S Habib, M Islam Electronics 10 (11), 1293, 2021 | 23 | 2021 |
| Intelligent arabic handwriting recognition using different standalone and hybrid CNN architectures W Albattah, S Albahli Applied Sciences 12 (19), 10155, 2022 | 22 | 2022 |
| End‐to‐End Semantic Leaf Segmentation Framework for Plants Disease Classification K Khan, RU Khan, W Albattah, AM Qamar Complexity 2022 (1), 1168700, 2022 | 21 | 2022 |
| The role of sampling in big data analysis W Albattah Proceedings of the international conference on big data and advanced …, 2016 | 18 | 2016 |
| Handwritten digit recognition: Hyperparameters-based analysis S Albahli, F Alhassan, W Albattah, RU Khan Applied Sciences 10 (17), 5988, 2020 | 15 | 2020 |
Albahli SalehProfessor, Qassim University & Kent State University在 qu.edu.sa 的电子邮件经过验证
