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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
1142022
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, 1-13, 2021
672021
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, 2022
502022
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
472020
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
422020
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
392022
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
362022
Advances and trends in real time visual crowd analysis
K Khan, W Albattah, RU Khan, AM Qamar, D Nayab
Sensors 20 (18), 5073, 2020
332020
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
282022
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
262021
Hajj crowd management using CNN-based approach
W Albattah, MHK Khel, S Habib, M Islam, S Khan, K Abdul Kadir
Tech Science Press, 2020
242020
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
212021
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
202023
Taxonomy of anomaly detection techniques in crowd scenes
A Aldayri, W Albattah
Sensors 22 (16), 6080, 2022
192022
End-to-end semantic leaf segmentation framework for plants disease classification
K Khan, RU Khan, W Albattah, AM Qamar
Complexity 2022, 2022
192022
Deep transfer learning for COVID-19 prediction: case study for limited data problems
S Albahli, W Albattah
Current medical imaging 17 (8), 973, 2021
192021
The role of sampling in big data analysis
W Albattah
Proceedings of the international conference on big data and advanced …, 2016
182016
Intelligent arabic handwriting recognition using different standalone and hybrid CNN architectures
W Albattah, S Albahli
Applied Sciences 12 (19), 10155, 2022
172022
Handwritten digit recognition: Hyperparameters-based analysis
S Albahli, F Alhassan, W Albattah, RU Khan
Applied Sciences 10 (17), 5988, 2020
152020
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