Zobrazeno 1 - 10
of 5 244
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
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In this research work, we synthesized a Schiff base derivative, N,N-dimethyl-4-{[(4-nitrophenyl)imino]-methyl}aniline, denoted as (n1). The molecule (n1) was characterized using spectroscopic analyses, including FT-IR, NMR 1H, and 13C. Our c
Externí odkaz:
https://doaj.org/article/c9532c0470a648e0a888eeeaf6955f7c
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
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
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
Publikováno v:
Akofena, Vol 6, Iss 14 (2024)
Abstract: The audiovisual media industry has experienced profound transformations driven by technological innovation, fundamentally reshaping production, distribution, and consumption practices. This article examines Netflix as a case study to explor
Externí odkaz:
https://doaj.org/article/ccc98135b0d7469e9be9c49f2409d101
Publikováno v:
Scientific African, Vol 26, Iss , Pp e02361- (2024)
Since the primitive ages, the vegetal world has contained a vast array of species, generating various biologically active compounds with diverse chemical frameworks. Throughout the centuries, medicinal and aromatic plants maintained their importance,
Externí odkaz:
https://doaj.org/article/bb8751498c8f4204ad5beffdc6344911