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Waleed Albattah
Waleed Albattah
Associate professor at Qassim University, attended Kent State University,
Verified email at qu.edu.sa
Title
Cited by
Cited by
Year
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
1522022
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
852021
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
642016
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
632022
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
562020
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
542022
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
462020
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
432022
Advances and trends in real time visual crowd analysis
K Khan, W Albattah, RU Khan, AM Qamar, D Nayab
Sensors 20 (18), 5073, 2020
402020
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
382022
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
302021
End‐to‐End Semantic Leaf Segmentation Framework for Plants Disease Classification
K Khan, RU Khan, W Albattah, AM Qamar
Complexity 2022 (1), 1168700, 2022
272022
Taxonomy of anomaly detection techniques in crowd scenes
A Aldayri, W Albattah
Sensors 22 (16), 6080, 2022
262022
Hajj crowd management using CNN-based approach
W Albattah, MHK Khel, S Habib, M Islam, S Khan, K Abdul Kadir
Tech Science Press, 2020
262020
Intelligent arabic handwriting recognition using different standalone and hybrid CNN architectures
W Albattah, S Albahli
Applied Sciences 12 (19), 10155, 2022
252022
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
242023
Deep transfer learning for COVID-19 prediction: case study for limited data problems
S Albahli, W Albattah
Current medical imaging 17 (8), 973, 2021
242021
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
242021
An overview of the current challenges, trends, and protocols in the field of vehicular communication
W Albattah, S Habib, MF Alsharekh, M Islam, S Albahli, DA Dewi
Electronics 11 (21), 3581, 2022
202022
A machine learning method for prediction of stock market using real-time twitter data
S Albahli, A Irtaza, T Nazir, A Mehmood, A Alkhalifah, W Albattah
Electronics 11 (20), 3414, 2022
202022
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Articles 1–20