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 | 167 | 2022 |
Melanoma Lesion Detection and Segmentation using YOLOv4-DarkNet and Active Contour S Albahli, N Nida, A Irtaza, MH Yousaf, MT Mahmood IEEE Access, 2020 | 114 | 2020 |
Efficient GAN-based Chest Radiographs (CXR) augmentation to diagnose coronavirus disease pneumonia S Albahli International Journal of Medical Sciences 17 (10), 1439-1448, 2020 | 92 | 2020 |
An improved faster-RCNN model for handwritten character recognition S Albahli, M Nawaz, A Javed, A Irtaza Arabian Journal for Science and Engineering 46 (9), 8509-8523, 2021 | 90 | 2021 |
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays S Albahli, HT Rauf, A Algosaibi, VE Balas PeerJ Computer Science 7, e495, 2021 | 77 | 2021 |
Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet S Albahli, N Ayub, M Shiraz Applied Soft Computing 110, 107645, 2021 | 73 | 2021 |
A deep neural network to distinguish covid-19 from other chest diseases using x-ray images S Albahli Current medical imaging 17 (1), 109-119, 2021 | 64 | 2021 |
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, 2022 | 59 | 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, 1-10, 2020 | 58 | 2020 |
COVID-19 Public Sentiment Insights: A Text Mining Approach to the Gulf Countries S Albahli, A Algsham, S Aeraj, M Alsaeed, M Alrashed, HT Rauf, ... CMC-COMPUTERS MATERIALS & CONTINUA 67 (2), 1613-1627, 2021 | 51 | 2021 |
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 | 47 | 2022 |
Arabic handwritten recognition using deep learning: A survey N Alrobah, S Albahli Arabian Journal for Science and Engineering 47 (8), 9943-9963, 2022 | 47 | 2022 |
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 | 43 | 2022 |
Recognition and Detection of Diabetic Retinopathy Using Densenet-65 Based Faster-RCNN S Albahli, T Nazir, A Irtaza, A Javed CMC-COMPUTERS MATERIALS & CONTINUA 67 (2), 1333-1351, 2021 | 43 | 2021 |
Identification of Thoracic Diseases by Exploiting Deep Neural Networks S Albahli, HT Rauf, M Arif, MT Nafis, A Algosaibi CMC-COMPUTERS MATERIALS & CONTINUA 66 (3), 3139-3149, 2021 | 42 | 2021 |
A hybrid deep model for recognizing arabic handwritten characters N Alrobah, S Albahli iEEE Access 9, 87058-87069, 2021 | 41 | 2021 |
Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study S Albahli, GNAH Yar Journal of medical Internet research, 2021 | 41 | 2021 |
Electricity Price Forecasting for Cloud Computing Using An Enhanced Machine Learning Model S Albahli, M Shiraz, N Ayub IEEE Access, 2020 | 35 | 2020 |
Type 2 machine learning: an effective hybrid prediction model for early type 2 diabetes detection S Albahli Journal of Medical Imaging and Health Informatics 10 (5), 1069-1075, 2020 | 33 | 2020 |
Intelligent arabic handwriting recognition using different standalone and hybrid CNN architectures W Albattah, S Albahli Applied Sciences 12 (19), 10155, 2022 | 27 | 2022 |