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Abdelmalek Bouguettaya
Abdelmalek Bouguettaya
Research Center in Industrial Technologies (CRTI)
Подтвержден адрес электронной почты в домене crti.dz - Главная страница
Название
Процитировано
Процитировано
Год
Deep learning techniques to classify agricultural crops through UAV imagery: A review
A Bouguettaya, H Zarzour, A Kechida, AM Taberkit
Neural computing and applications 34 (12), 9511-9536, 2022
2222022
A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms
A Bouguettaya, H Zarzour, AM Taberkit, A Kechida
Signal Processing 190, 108309, 2022
2162022
Vehicle detection from UAV imagery with deep learning: A review
A Bouguettaya, H Zarzour, A Kechida, AM Taberkit
IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6047-6067, 2021
1392021
A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images
A Bouguettaya, H Zarzour, A Kechida, AM Taberkit
Cluster Computing 26 (2), 1297-1317, 2023
1022023
A survey on lightweight CNN-based object detection algorithms for platforms with limited computational resources
A Bouguettaya, A Kechıda, AM Taberkıt
International Journal of Informatics and Applied Mathematics 2 (2), 28-44, 2019
422019
Deep ensemble transfer learning-based approach for classifying hot-rolled steel strips surface defects
A Bouguettaya, Z Mentouri, H Zarzour
The International Journal of Advanced Manufacturing Technology 125 (11 …, 2023
242023
Recent Advances on UAV and Deep Learning for Early Crop Diseases Identification: A Short Review
A Bouguettaya, H Zarzour, A Kechida, AM Taberkit
2021 International Conference on Information Technology (ICIT), 2021
212021
Machine learning and deep learning as new tools for business analytics
A Bouguettaya, H Zarzour, A Kechida, AM Taberkit
Handbook of Research on Foundations and Applications of Intelligent Business …, 2022
82022
CNN-based hot-rolled steel strip surface defects classification: a comparative study between different pre-trained CNN models
A Bouguettaya, H Zarzour
The International Journal of Advanced Manufacturing Technology 132 (1), 399-419, 2024
72024
Algerian perspectives for UAV-based remote sensing technologies and artificial intelligence in precision agriculture
AM Taberkit, A Kechida, A Bouguettaya
Proceedings of the 4th International Conference on Networking, Information …, 2021
72021
Steel surface defect recognition using classifier combination
R Zaghdoudi, A Bouguettaya, A Boudiaf
The International Journal of Advanced Manufacturing Technology, 1-17, 2024
52024
Development of Hybrid Models Based on AlexNet and Machine Learning Approaches for Strip Steel Surface Defect Classification
A Boudiaf, S Benlahmidi, A Dahane, A Bouguettaya
Journal of Failure Analysis and Prevention, 1-19, 2024
42024
A New Clustering Based Routing Algorithm for NoC
A Bouguettaya, MT Kimour, S Toumi
The Proceedings of the International Conference on Machine Learning …, 2014
32014
The importance of applying artificial intelligence on unmanned aerial vehicle
AM Taberkit, A Kechida, A Bouguettaya
International Conference on Electrical Engineering and Control Applications …, 2019
22019
Lightweight CNNs-Based Object Detection for Embedded Systems Implementation
A Bouguettaya, A Kechida, AM Taberkit
1st Conference on Innovative Trends in Computer Science (CITCS'2019), 2019
2*2019
A new 2D mesh routing approach for networks on chip
A Bouguettaya, S Toumi, MT Kimour, A Boudjedra
Synthèse: Revue des Sciences et de la Technologie 32, 98-105, 2016
12016
Steel Surface Defect Recognition using Classifier Combination
A Bouguettaya, A Boudiaf
2023
A survey on deep learning-based object detection algorithms for drones
A Bouguettaya, A Kechida, AM Taberkit
4th International Conference on Embedded Systems in Telecommunications and …, 2019
2019
A survey on deep learning-based object detectionalgorithms for drones
B Abdelmalek, K Ahmed, TM Amine
4th International Conference on Embedded Systems in Telecommunications and …, 2019
2019
Génération d’un réseau sur puce au format VHDL RTL à partir d’unemodélisation de haut niveau UML par raffinement
B Abdelmalek
Université Badji Mokhtar de Annaba, 2017
2017
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Статьи 1–20