Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Abdennour Sebbagh"'
Publikováno v:
IEEE Access, Vol 12, Pp 62047-62058 (2024)
Predictive algorithms for the coronavirus epidemic are indispensable tools for monitoring the dynamic spread of COVID-19 and for implementing intervention and preparedness measures to mitigate the outbreak. Many of the existing mathematical models us
Externí odkaz:
https://doaj.org/article/e870482100b24b4aa158bd4a436162ca
Autor:
Chemesse Ennehar Bencheriet, Hiba Abdelmoumène, Abdennour Sebbagh, Abdennour Yahiyaoui, Zahra Taba
Publikováno v:
Acta Polytechnica, Vol 64, Iss 5 (2023)
Due to the robustness of the deep learning tools used to design these applications, fakes are becoming increasingly common as these applications become more widely available and accessible to the general public. These fakes are typically fake faces o
Externí odkaz:
https://doaj.org/article/f2f898cc39cd433b855477ecd65ed154
Autor:
Abdennour Sebbagh, Sihem Kechida
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract In this paper, we study the Covid 19 disease profile in the Algerian territory since February 25, 2020 to February 13, 2021. The idea is to develop a decision support system allowing public health decision and policy-makers to have future st
Externí odkaz:
https://doaj.org/article/9a4d090340354f56b0665bd947003e6f
Publikováno v:
International Journal of Dynamics and Control. 10:1657-1673
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ec71da90706642b4086156a8e4ad5cd
https://doi.org/10.1007/s40435-022-00916-6
https://doi.org/10.1007/s40435-022-00916-6
Autor:
Sihem Kechida, Abdennour Sebbagh
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d5c687a54db63d0ceeaafc1c0c17662
https://doi.org/10.4271/2019-01-6005
https://doi.org/10.4271/2019-01-6005
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42
In this work, we are interested to the PID control of nonlinear systems and more specially the control of a robot manipulator. The idea is to determine the optimal parameters ($$K_{p}, K_{i}$$ and $$K_{d}$$) of the controller using a novel algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe27479eb6336b3da0b0731865b9728a
https://doi.org/10.1007/s40430-019-2074-3
https://doi.org/10.1007/s40430-019-2074-3
Robustification of the generalized predictive law (GPC) by the implicit application of the H∞ method
Publikováno v:
ICIST
In this paper, we propose a method of robustification of the initial polynomial form of the generalized predictive law (GPC) for a permanent magnet synchronous machine (PMSM). For this, the procedure consists of the following three steps: First, synt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f02b90a6971c3541974bbbb002bfe263
https://doi.org/10.1145/3361570.3361601
https://doi.org/10.1145/3361570.3361601
Akademický článek
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Publikováno v:
Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, 2005..
In this paper, we present an efficient filtering algorithm to perform accurate estimation in jump Markov nonlinear systems, which we aim to contribute in solving the problem of model-based body motion estimation by using data coming from visual senso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935324d4b882c960103c9192c5bebd10
https://doi.org/10.1109/icisip.2005.1529421
https://doi.org/10.1109/icisip.2005.1529421
Autor:
Hicham Tebbikh, Abdennour Sebbagh
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07b81ef340296a9c53f0af33bbd84553
http://www.scopus.com/inward/record.url?eid=2-s2.0-79953773135&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-79953773135&partnerID=MN8TOARS
