Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zebbara, Khalid"'
Autor:
Aftatah, Mohammed, Zebbara, Khalid
Secure navigation is pivotal for several applications including autonomous vehicles, robotics, and aviation. The inertial navigation system estimates position, velocity, and attitude through dead reckoning especially when external references like GPS
Externí odkaz:
http://arxiv.org/abs/2409.20488
Autor:
Benchama, Asmaa, Zebbara, Khalid
Publikováno v:
Data and Metadata, 2023 Dec. 28
This paper introduces an innovative intrusion detection system that harnesses Generative Adversarial Networks (GANs), Multi-Scale Convolutional Neural Networks (MSCNNs), and Bidirectional Long Short-Term Memory (BiLSTM) networks, supplemented by Loca
Externí odkaz:
http://arxiv.org/abs/2406.05443
Autor:
Benchama, Asmaa, Zebbara, Khalid
Publikováno v:
International Journal of Computer Networks & Communications (IJCNC) Vol.16, No.3, May 2024
Deep learning is currently extensively employed across a range of research domains. The continuous advancements in deep learning techniques contribute to solving intricate challenges. Activation functions (AF) are fundamental components within neural
Externí odkaz:
http://arxiv.org/abs/2405.20503
Autor:
AFTATAH, Mohammed1 aftatahm@gmail.com, ZEBBARA, Khalid1 k.zebbara@uiz.ac.ma
Publikováno v:
Data & Metadata. 2024, Vol. 3, p1-17. 17p.
Autor:
AFTATAH, Mohammed, ZEBBARA, Khalid
Publikováno v:
International Journal of Advanced Computer Science & Applications; 2024, Vol. 15 Issue 11, p478-487, 10p
Publikováno v:
2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA).
This paper presents a fast road obstacle detection system based on stereo vision. The algorithm contains three main components: road detection, obstacle detection and obstacles tracking. The road detection is achieved by using a small rectangular sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cba7f97c44636b16728e10a8527389a8
https://doi.org/10.1109/sita.2013.6560817
https://doi.org/10.1109/sita.2013.6560817
Publikováno v:
International Journal of Advanced Computer Science and Applications. 1
This paper presents a new vehicle detection method from images acquired by cameras embedded in a moving vehicle. Given the sequence of images, the proposed algorithms should detect out all cars in realtime. Related to the driving direction, the cars
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e446818117671f5f257c333aed983d84
https://doi.org/10.14569/specialissue.2011.010312
https://doi.org/10.14569/specialissue.2011.010312
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