Self-Adaptive On-Chip System Based on Cross-Layer Adaptation Approach

Autor: Kais Loukil, Nader Ben Amor, Mohamed Abid, Jean Philippe Diguet

Publikováno v: International Journal of Reconfigurable Computing, Vol 2013 (2013)

The emergence of mobile and battery operated multimedia systems and the diversity of supported applications mount new challenges in terms of design efficiency of these systems which must provide a maximum application quality of service (QoS) in the p

Externí odkaz: https://doaj.org/article/03ad646c37d6403782951f7672ae567f

Design and implementation of reconfigurable MPPT fuzzy controller for photovoltaic systems

Autor: Hanen Abbes, Mohamed Abid, Ahmad Toumi, Hafedh Abid, Kais Loukil

Publikováno v: Ain Shams Engineering Journal, Vol 11, Iss 2, Pp 319-328 (2020)

Since, photovoltaic (PV) systems are currently very expensive, many scientific studies are being conducted to maximize the power such systems deliver. The best solution suggested so far consists of integrating the Maximum Power Point Tracking (MPPT)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fff41f384901a0e90513a5edc5ddab1d
http://www.sciencedirect.com/science/article/pii/S2090447919301388

Two-streams Fully Convolutional Networks for Abnormal Event Detection in Videos

Autor: Samir Bouindour, Hichem Snoussi, Mohamed Abid, Kais Loukil, Slim Hamdi

Publikováno v: 12th International Conference on Agents and Artificial Intelligence
12th International Conference on Agents and Artificial Intelligence, Feb 2020, Valletta, Malta. pp.514-521
ICAART (2)
Scopus-Elsevier

International audience; In the context of abnormal event detection in videos, only the normal events are available for the learning process, therefore the implementation of unsupervised learning method becomes paramount. We propose to use a new archi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae39379f9c87fc6adad23d6c3051efa6
https://hal-utt.archives-ouvertes.fr/hal-03320773

A Survey on Efficient Power Consumption in Adaptive Wireless Sensor Networks

Autor: Kais Loukil, Mohammad Bensalah, Nesrine Atitallah, Mohamed Abid, Abdulfattah M. Obeid

Publikováno v: Wireless Personal Communications. 101:101-117

The paper aims to give an extensive overview of the energy constraints in Wireless Sensor Networks and the power management strategies used in the literature as power efficiency is considered as the most challenging issue in WSNs. The paper opted for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a795b2c3ee1a219cbe4012a264386fd
https://doi.org/10.1007/s11277-018-5678-5

Hybrid deep learning and HOF for Anomaly Detection

Autor: Mohamed Abid, Slim Hamdi, Kais Loukil, Hichem Snoussi, Samir Bouindour

Publikováno v: 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2019, Paris, France. pp.575-580
CoDIT

International audience; Anomalies detection in video footage is a daunting task treated with many challenges in crowded scenes. In this paper, we propose an efficient method based on deep learning and handcrafted spatio-temporal feature extraction fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab45b77e0a2c798210c7a673ac2c031
https://hal-utt.archives-ouvertes.fr/hal-02279226