Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mathieu Brévilliers"'
Publikováno v:
RAIRO-Operations Research
RAIRO-Operations Research, EDP Sciences, 2021, 55 (4), pp.2069-2091. ⟨10.1051/ro/2021092⟩
RAIRO-Operations Research, EDP Sciences, 2021, 55 (4), pp.2069-2091. ⟨10.1051/ro/2021092⟩
The 𝒩𝒫-hard minimum set cover problem (SCP) is a very typical model to use when attempting to formalise optimal camera placement (OCP) applications. In a generic form, the OCP problem relates to the positioning of individual cameras such that t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678afc62f4b399d16b2b1b3a6ad7d7f6
https://hal.archives-ouvertes.fr/hal-03282241
https://hal.archives-ouvertes.fr/hal-03282241
Publikováno v:
Applied Soft Computing. 74:133-153
Given a delimited surveillance area, represented in either 2D or 3D, and a set of feasible camera locations and orientations, the optimal camera placement problem (OCP) is that of identifying camera configurations which optimise a predefined objectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf510b5e4ec591016367eb6257e92429
https://doi.org/10.1016/j.asoc.2018.10.025
https://doi.org/10.1016/j.asoc.2018.10.025
Publikováno v:
Applied Soft Computing. 121:108717
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcde908f910361d9cde954d564c4a86c
https://doi.org/10.1016/j.asoc.2022.108717
https://doi.org/10.1016/j.asoc.2022.108717
Autor:
Laetitia Jourdan, Mathieu Brévilliers, Julien Lepagnot, Soheila Ghambari, Lhassane Idoumghar, Mahmoud Golabi
Publikováno v:
32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020)
32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020), Nov 2020, Baltimore, United States. ⟨10.1109/ICTAI50040.2020.00027⟩
ICTAI
32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020), Nov 2020, Baltimore, United States. ⟨10.1109/ICTAI50040.2020.00027⟩
ICTAI
This paper considers multiobjective UAV path planning in a real 3D environment with the objective to find a safe energy-efficient path. An Enhanced Non-dominated Sorting Genetic Algorithm-II, called ENSGA-II, is proposed and combines several sorts of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0472d8df68d65edc232f1eaef7dc59ed
https://hal.archives-ouvertes.fr/hal-03021791
https://hal.archives-ouvertes.fr/hal-03021791
Autor:
Lhassane Idoumghar, Jonathan Weber, Hojjat Rakhshani, Mathieu Brévilliers, Hassan Ismail Fawaz, Pierre-Alain Muller, Julien Lepagnot, Germain Forestier
Publikováno v:
IJCNN
Neural architecture search (NAS) has achieved great success in different computer vision tasks such as object detection and image recognition. Moreover, deep learning models have millions or billions of parameters and applying NAS methods when consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cc69fbd96757636159571e47ac9df8d
https://doi.org/10.1109/ijcnn48605.2020.9206721
https://doi.org/10.1109/ijcnn48605.2020.9206721
Autor:
Lhassane Idoumghar, Germain Forestier, Michel Hassenforder, Mathieu Brévilliers, Hojjat Rakhshani, Bastien Latard, Julien Lepagnot, Jonathan Weber
Publikováno v:
CEC
The amount of scientific conferences and journal articles continues to increase and new approaches are required to support users in finding relevant publications. This study investigates to what extent a new machine learning (ML) pipeline may prefere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef035e6bea462108e90ec15d1792d865
https://doi.org/10.1109/cec48606.2020.9185893
https://doi.org/10.1109/cec48606.2020.9185893
Publikováno v:
CoDIT
The optimal camera placement problem is that of determining the best possible set of camera positions and orientations in order to meet application-specific constraints and objectives. This paper focuses on one application of the problem: global area
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9b16648c4e162615f2d8fbf7d3293cd
https://doi.org/10.1109/codit49905.2020.9263977
https://doi.org/10.1109/codit49905.2020.9263977
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030457143
Metaheuristic algorithms (MAs) have seen unprecedented growth thanks to their successful applications in fields including engineering and health sciences. In this work, we investigate the use of a deep learning (DL) model as an alternative tool to do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e07df8b9d70ce2ae153a1a3447b7873
https://doi.org/10.1007/978-3-030-45715-0_1
https://doi.org/10.1007/978-3-030-45715-0_1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030535513
LION
LION
The Unicost Set Covering Problem (USCP) is a well-known \(\mathcal {NP}\)-hard combinatorial optimization problem. This paper presents a memetic algorithm that combines and adapts the Hybrid Evolutionary Algorithm in Duet (HEAD) and the Row Weighting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b3896c39435b0192d6e2082ffa54940
https://doi.org/10.1007/978-3-030-53552-0_23
https://doi.org/10.1007/978-3-030-53552-0_23
Deep neural networks have recently drawn considerable attention to build and evaluate artificial learning models for perceptual tasks. Here, we present a study on the performance of the deep learning models to deal with global optimization problems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ea3812fea3c4e632e987074d88e0ad5