Zobrazeno 1 - 10
of 465
pro vyhledávání: '"El Fallah Seghrouchni, A."'
Autor:
Elharrouss, Omar, Hmamouche, Youssef, Idrissi, Assia Kamal, El Khamlichi, Btissam, El Fallah-Seghrouchni, Amal
Publikováno v:
In Pattern Recognition June 2023 138
Publikováno v:
Revue Ouverte d'Intelligence Artificielle. 3:345-372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6c3a9e4f2b1800cef9fb58952047d9b
https://doi.org/10.5802/roia.34
https://doi.org/10.5802/roia.34
Publikováno v:
2023 IEEE Aerospace Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8bd80fdda6420dfa9b7b8cc8f9728cb
https://doi.org/10.1109/aero55745.2023.10115762
https://doi.org/10.1109/aero55745.2023.10115762
In the pursuit of further advancement in the field of target tracking, this paper explores the efficacy of a feedforward neural network in predicting drones tracks, aiming to eventually, compare the tracks created by the well-known Kalman filter and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1ce8177ac62c8dae1e82c9dfd1a281d
Publikováno v:
2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::813a2ca8ef1dabeb28da1d1e6fff1a45
https://doi.org/10.1109/avss56176.2022.9959483
https://doi.org/10.1109/avss56176.2022.9959483
Publikováno v:
2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db1a794b7a3266b60b33cadb58686fb0
https://doi.org/10.1109/avss56176.2022.9959247
https://doi.org/10.1109/avss56176.2022.9959247
Autor:
Bordini, Rafael H., El Fallah-Seghrouchni, Amal, Hindriks, K.V., Logan, B.S., Ricci, Alessandro, Sub Intelligent Systems, Intelligent Systems
Publikováno v:
Bordini, R H, El Fallah Seghrouchni, A, Hindriks, K, Logan, B & Ricci, A 2020, ' Agent programming in the cognitive era ', Autonomous Agents and Multi-Agent Systems, vol. 34, no. 2, 37, pp. 1-31 . https://doi.org/10.1007/s10458-020-09453-y
Autonomous Agents and Multi-Agent Systems, 34(2):37, 1-31. Springer Netherlands
AAMAS
AAMAS 2021: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 1706-1708
STARTPAGE=1706;ENDPAGE=1708;TITLE=AAMAS 2021
Scopus-Elsevier
Bordini, R H, Seghrouchni, A E F, Hindriks, K, Logan, B & Ricci, A 2021, Agent programming in the cognitive Era . in AAMAS 2021 : Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems . Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 3, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1706-1708, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, Virtual, Online, 3/05/21 . https://doi.org/10.5555/3463952.3464213
Journal of Autonomous Agents and Multi Agent Systems, 34
Autonomous Agents and Multi-Agent Systems, 34(2):37, 1-31. Springer Netherlands
AAMAS
AAMAS 2021: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 1706-1708
STARTPAGE=1706;ENDPAGE=1708;TITLE=AAMAS 2021
Scopus-Elsevier
Bordini, R H, Seghrouchni, A E F, Hindriks, K, Logan, B & Ricci, A 2021, Agent programming in the cognitive Era . in AAMAS 2021 : Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems . Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 3, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1706-1708, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, Virtual, Online, 3/05/21 . https://doi.org/10.5555/3463952.3464213
Journal of Autonomous Agents and Multi Agent Systems, 34
It is claimed that, in the nascent ‘Cognitive Era’, intelligent systems will be trained using machine learning techniques rather than programmed by software developers. A contrary point of view argues that machine learning has limitations, and, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89e0d71997fe192ce7ad889549050d53
https://hdl.handle.net/1871.1/58ff6953-1d91-47de-84a2-18863cbdd0b2
https://hdl.handle.net/1871.1/58ff6953-1d91-47de-84a2-18863cbdd0b2
Autor:
Omar Elharrouss, Youssef Hmamouche, Assia Kamal Idrissi, Btissam El Khamlichi, Amal El Fallah-Seghrouchni
Publikováno v:
Pattern Recognition. 138:109361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00d6ad83e65d8ea715a747801e4a219f
https://doi.org/10.1016/j.patcog.2023.109361
https://doi.org/10.1016/j.patcog.2023.109361
Publikováno v:
2022 8th International Conference on Information Technology Trends (ITT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96f473bf3bb7b487ea873cf8b1799be3
https://doi.org/10.1109/itt56123.2022.9863943
https://doi.org/10.1109/itt56123.2022.9863943
Fuzzy logic has been proposed in previous studies for machine diagnosis, to overcome different drawbacks of the traditional diagnostic approaches used. Among these approaches Failure Mode and Effect Critical Analysis method(FMECA) attempts to identif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263290257994dd322fd59ddfa5814c52