Zobrazeno 1 - 10
of 5 057
pro vyhledávání: '"A Zouaoui"'
Autor:
Arbel, Michael, Zouaoui, Alexandre
Replicability in machine learning (ML) research is increasingly concerning due to the utilization of complex non-deterministic algorithms and the dependence on numerous hyper-parameter choices, such as model architecture and training datasets. Ensuri
Externí odkaz:
http://arxiv.org/abs/2402.13831
Publikováno v:
IEEE TGRS, 2024, 62
In this paper, we introduce a novel linear model tailored for semisupervised/library-based unmixing. Our model incorporates considerations for library mismatch while enabling the enforcement of the abundance sum-to-one constraint (ASC). Unlike conven
Externí odkaz:
http://arxiv.org/abs/2401.12609
Autor:
Amokrane, Salem-Bilal, Laidouni, Mohammed Zouaoui, Adli, Touati, Madonski, Rafal, Stanković, Momir
Publikováno v:
Mechatronics 97 (2024) 103114
This paper presents a systematic design of an active disturbance rejection control (ADRC) system for unmanned tracked vehicles (UTVs) in leader-follow formation. Two ADRC controllers are designed for the lateral and the longitudinal channels of the U
Externí odkaz:
http://arxiv.org/abs/2311.15095
Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate mixtures of materials in the scenes. Unmixing estimates the fract
Externí odkaz:
http://arxiv.org/abs/2308.09375
Publikováno v:
IEEE Geoscience and Remote Sensing Letters, 2023, 20, pp.1-5
This paper introduces a new sparse unmixing technique using archetypal analysis (SUnAA). First, we design a new model based on archetypal analysis. We assume that the endmembers of interest are a convex combination of endmembers provided by a spectra
Externí odkaz:
http://arxiv.org/abs/2308.04771
Malware detection has become a major concern due to the increasing number and complexity of malware. Traditional detection methods based on signatures and heuristics are used for malware detection, but unfortunately, they suffer from poor generalizat
Externí odkaz:
http://arxiv.org/abs/2303.16004
Autor:
Zouaoui Samia, Khamari Chahinez
Publikováno v:
Acta Informatica Pragensia, Vol 13, Iss 2, Pp 288-307 (2024)
Artificial intelligence methods, especially deep learning, have seen increasing application in analysing personality and occupational data to identify individuals with psychological and neurological disorders. Currently, there is a great need for eff
Externí odkaz:
https://doaj.org/article/c7fc8dd8178a41eaabeecd75c8567c3a
Publikováno v:
IUCrData, Vol 9, Iss 9, p x240906 (2024)
The title compound, [Zn2(C6H8O4)2(C10H9N3)2]·3H2O or {Zn2[(C5H4N)2NH]2[μ-(CH2)4(COO)2]2}·3H2O, was separated from the solvothermal reaction of zinc(II) sulfate heptahydrate, 2,2′-dipyridylamine and sodium adipate. The dinuclear metal complex has
Externí odkaz:
https://doaj.org/article/ddb6c0bb1d92431982779e63ca05ee65
Publikováno v:
IUCrData, Vol 9, Iss 9, p x240849 (2024)
The title coordination polymer, [Co(N3)2(C9H8N2)]n, was synthesized solvothermally. The CoII atom exhibits a distorted octahedral [CoN6] coordination geometry with a bidentate 8-aminoquinoline ligand and four azide ligands. Bridging azide ligands res
Externí odkaz:
https://doaj.org/article/b79afd0b583e4778938958f15a8873c1
Publikováno v:
Journal of Applied Accounting Research, 2023, Vol. 25, Issue 3, pp. 570-593.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JAAR-01-2023-0028