Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Abd Errahmane Kiouche"'
Autor:
Rémy Crassard, Wael Abu-Azizeh, Olivier Barge, Jacques Élie Brochier, Frank Preusser, Hamida Seba, Abd Errahmane Kiouche, Emmanuelle Régagnon, Juan Antonio Sánchez Priego, Thamer Almalki, Mohammad Tarawneh
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0277927 (2023)
Data on how Stone Age communities conceived domestic and utilitarian structures are limited to a few examples of schematic and non-accurate representations of various-sized built spaces. Here, we report the exceptional discovery of the up-to-now olde
Externí odkaz:
https://doaj.org/article/4961160c93fd409383e7957f3df4187f
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2021, 152, pp.107-114. ⟨10.1016/j.patrec.2021.09.019⟩
Pattern Recognition Letters, Elsevier, 2021, 152, pp.107-114. ⟨10.1016/j.patrec.2021.09.019⟩
This paper presents an effective dissimilarity measure for geometric graphs representing shapes. The proposed dissimilarity measure is a distance that combines a sparsification of the geometric graph based on the maximum diversity problem and a new n
Autor:
Fatma Zohra Khaoula Saadi, Abd Errahmane Kiouche, Karima Amrouche, Hamida Seba, Mohamed-Lamine MESSAI
Publikováno v:
HAL
Le problème de détection d'anomalies dans les flux de graphes se pose dans de nombreuses applications comme la cyber-sécurité et la finance. Plusieurs méthodes sont proposées dans la littérature pour répondre à cette problématique. Cependan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::be3c6132dabfdc6371715dc8863f666b
https://hal.science/hal-03701393
https://hal.science/hal-03701393
Publikováno v:
KES
This paper presents a multi-objective immune memetic algorithm to the challenge of solving the Frequency Assignment Problem (FAP) in cellular networks seeking the minimization of the network’s total interference, the maximum interference and the nu
Publikováno v:
Pattern Recognition
Pattern Recognition, Elsevier, 2021, pp.107746. ⟨10.1016/j.patcog.2020.107746⟩
Pattern Recognition, Elsevier, 2021, pp.107746. ⟨10.1016/j.patcog.2020.107746⟩
International audience; In this work, we propose a new approach to detect anomalous graphs in a stream of directed and labeled heterogeneous edges. The stream consists of a sequence of edges derived from different graphs. Each of these dynamic graphs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee462175401740d00aeca0c50c2e917
https://hal.archives-ouvertes.fr/hal-02993787/document
https://hal.archives-ouvertes.fr/hal-02993787/document
Publikováno v:
EGC 2019. Revue des Nouvelles Technologies de l'Information vol.RNTI-E-35
EGC 2019
EGC 2019, Jan 2019, Metz, France
HAL
EGC 2019
EGC 2019, Jan 2019, Metz, France
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d1f126ceac087fe339e3e8e9f2aee734
https://hal.archives-ouvertes.fr/hal-02173444
https://hal.archives-ouvertes.fr/hal-02173444
Publikováno v:
Engineering Applications of Artificial Intelligence. 87:103265
This paper investigates hybridization of multi-objective memetic algorithm and artificial immune system (AIS) for the Frequency Assignment Problem (FAP) in cellular mobile networks. The considered objectives to minimize are the total interference, th
Publikováno v:
Applied Soft Computing. 85:105797
This paper presents a novel multi-objective hybrid metaheuristic that combines an artificial immune system (AIS) with genetic operators to address the multi-objective Frequency Assignment Problem (FAP) in cellular mobile networks, seeking to minimize