Waleed Albattah

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	Visi	Nuo 2020
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h-rodyklė	21	21
i10-rodyklė	28	27

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Bendraautoriai

Albahli SalehProfessor, Qassim University & Kent State UniversityPatvirtintas el. paštas qu.edu.sa
Rehan Ullah KhanDepartment of Information Technology, College of Computer, Qassim Univesity, Buraydah, Saudi ArabiaPatvirtintas el. paštas qu.edu.sa
Dr. Muhammad IslamProfessor (Associate) Engineering College, Buraydah, Qassim UniversityPatvirtintas el. paštas qu.edu.sa
Shabana habibassociate professor-Qassim UniversityPatvirtintas el. paštas qu.edu.sa
khalil khanNazarbayev UniversityPatvirtintas el. paštas nu.edu.kz
Kushsairy KadirDr, Universiti Kuala LumpurPatvirtintas el. paštas unikl.edu.my
Sheroz KhanProfessor, Department of Electrical Engineering, Onaizah CollegesPatvirtintas el. paštas oc.edu.sa
Marriam NawazLecturer, Uet TaxilaPatvirtintas el. paštas uettaxila.edu.pk
Ali JavedAssociate Professor, UET Taxila. SMIEEE, PhD Computer Vision, Postdoc Oakland University, USAPatvirtintas el. paštas uettaxila.edu.pk
Austin MeltonProfessor of Computer Science and Mathematics, Kent State UniversityPatvirtintas el. paštas kent.edu
Momina MasoodPatvirtintas el. paštas uettaxila.edu.pk
Jawad ShahUniKL British Malaysian Institute MalaysiaPatvirtintas el. paštas unikl.edu.my
Musaad AlzahraniKent State University, Albaha UniversityPatvirtintas el. paštas bu.edu.sa
Suliman A. AlsuhibanyProfessor, Computer Science Department, College of Computer, Qassim UniversityPatvirtintas el. paštas qu.edu.sa
Omar AlaqlAl imam Mohammad Ibn Saud Islamic UniversityPatvirtintas el. paštas imamu.edu.sa
salim el khediriQassim University & Gafsa University (FSGF)Patvirtintas el. paštas qu.edu.sa
Dr. Ali Mustafa QamarDepartment of Computer Science, College of Computer, Qassim UniversityPatvirtintas el. paštas qu.edu.sa

Stebėti

Waleed Albattah

Associate professor at Qassim University, attended Kent State University,

Patvirtintas el. paštas qu.edu.sa

Software Engineering Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	203	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	103	2021
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	81	2022
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	68	2022
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	66	2016
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	61	2020
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	52	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	50	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	48	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	45	2020
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	38	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	37	2023
Taxonomy of anomaly detection techniques in crowd scenes A Aldayri, W Albattah Sensors 22 (16), 6080, 2022	32	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	32	2022
Intelligent arabic handwriting recognition using different standalone and hybrid CNN architectures W Albattah, S Albahli Applied Sciences 12 (19), 10155, 2022	30	2022
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	29	2022
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	28	2021
Deep transfer learning for COVID-19 prediction: case study for limited data problems S Albahli, W Albattah Current Medical Imaging Reviews 17 (8), 973-980, 2021	27	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	27	2020
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	23	2022

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