Albahli Saleh
Albahli Saleh
Associate Professor, Qassim University & Kent State University
Verified email at - Homepage
Cited by
Cited by
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
Melanoma Lesion Detection and Segmentation using YOLOv4-DarkNet and Active Contour
S Albahli, N Nida, A Irtaza, MH Yousaf, MT Mahmood
IEEE Access, 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
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
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
Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet
S Albahli, N Ayub, M Shiraz
Applied Soft Computing 110, 107645, 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
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
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
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
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
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
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
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
Arabic handwritten recognition using deep learning: A survey
N Alrobah, S Albahli
Arabian Journal for Science and Engineering 47 (8), 9943-9963, 2022
A hybrid deep model for recognizing arabic handwritten characters
N Alrobah, S Albahli
iEEE Access 9, 87058-87069, 2021
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
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
Electricity Price Forecasting for Cloud Computing Using An Enhanced Machine Learning Model
S Albahli, M Shiraz, N Ayub
IEEE Access, 2020
A Deep Ensemble Learning Method for Effort-Aware Just-In-Time Defect Prediction
S Albahli
Future Internet 11 (12), 246, 2019
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