A Mobile Device Prototype Application for the Detection and Prediction of Node Faults in Wireless Sensor Networks

Autor: Marcus, Anthony, Cardei, Ionut, Furht, Borko, Salem, Osman, Mehaoua, Ahmed

Various implementations of wireless sensor networks (i.e. personal area-, wireless body area- networks) are prone to node and network failures by such characteristics as limited node energy resources and hardware damage incurred from their surroundin

Externí odkaz: http://arxiv.org/abs/1401.5306

SPSO-Pruner: a network pruning method on YOLOv5 for fewer categories scenarios.

Autor: Zhang, Yifei, Liu, Xinchen, Chen, Yan, Xie, Linyao, Wang, Hongbo, Salem, Osman

Publikováno v: Multimedia Tools & Applications; Jan2024, Vol. 83 Issue 4, p11493-11506, 14p

Research and Application of Carrier User Viscosity Evaluation Method Based on CNN Algorithm Model

Autor: Rui Ban, Hongding Wang, Yufei Hao, Salem Osman

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031067877

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::670f5c5fcc90d60f646ee629017b9418
https://doi.org/10.1007/978-3-031-06788-4_19

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A Comparison Between Divergence Measures for Network Anomaly Detection

Autor: Tajer, Jean, Makke, Ali, Salem, Osman, Mehaoua, Ahmed

Publikováno v: 7th International Conference on Network and Service Management (CNSM 11)
7th International Conference on Network and Service Management (CNSM 11), 2011, pp.1-5

International audience; This paper deals with the detection of flooding attacks which are the most common type of Denial of Service (DoS) attacks. We compare 2 divergence measures (Hellinger distance and Chi-square divergence) to analyze their detect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::061755676e9d24cab14262cd1ac92e40
https://hal.archives-ouvertes.fr/hal-00844968/file/CNSM11.pdf