Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Thouraya Merazi-Meksen"'
Autor:
Kawthar Yasmine Zergat, Sid Ahmed Selouani, Abderrahmane Amrouche, Yazid Kahil, Thouraya Merazi-Meksen
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4439f465d98d23fec109ab0c26fb4937
https://doi.org/10.1007/s11042-023-14412-2
https://doi.org/10.1007/s11042-023-14412-2
Publikováno v:
Journal of Arid Environments
Journal of Arid Environments, Elsevier, 2021, 188, pp.104463. ⟨10.1016/j.jaridenv.2021.104463⟩
Journal of Arid Environments, Elsevier, 2021, 188, pp.104463. ⟨10.1016/j.jaridenv.2021.104463⟩
In this paper, a new approach for mapping polygenic depressions colonised by vegetation is presented. These spatially periodic vegetation patterns situated in the arid areas of North Africa are known locally as "Dayas". The mapping of these structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcdc894e7302b0aa4843322563323e6e
https://hal.univ-angers.fr/hal-03161768
https://hal.univ-angers.fr/hal-03161768
Publikováno v:
Biomedical Signal Processing and Control. 68:102604
This paper proposes a methodology that can help in the detection of Parkinson’s disease (PD) from voice recordings. It is based on eight of voice features, describing vocal folds behavior such as frequency and amplitude perturbations, biomechanical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ce9d7f6bd058ae80f28cf37d838a19
https://doi.org/10.1016/j.bspc.2021.102604
https://doi.org/10.1016/j.bspc.2021.102604
Publikováno v:
Multimedia Tools and Applications. 77:11693-11725
This paper presents a novel adjustable audio watermarking method with high auditory quality by exploiting the discrete wavelet packet transform (DWPT), psychoacoustic modeling and distortion compensated-dither modulation (DC-DM) quantization. While t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f3bc0dd92077c280477ffc7bfe0c46b
https://doi.org/10.1007/s11042-017-4813-8
https://doi.org/10.1007/s11042-017-4813-8
Autor:
Wafa Derouaz, Thouraya Merazi Meksen
Publikováno v:
2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).
Compressed sensing (CS) has gained much interests in the speech processing community and especially in compression. The success of this appealing paradigm relies, heavily, on the sparsity of speech signals in a given dictionary. Thanks to machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5f2d22e3feeecbebc594842505782c
https://doi.org/10.1109/cistem.2018.8613315
https://doi.org/10.1109/cistem.2018.8613315
Publikováno v:
MATEC Web of Conferences, Vol 208, p 01005 (2018)
Ultrasonic waves are efficiently exploited to detect internal defects such as cracks and occlusions in non-destructive testing (NDT) of materials. In some automated procedures, emitter and receiver probes are displaced step by step and signals are di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad3047f4b776516485d124807300b6dc
https://doaj.org/article/1c7a79c73c7942979dde36fc025a443f
https://doaj.org/article/1c7a79c73c7942979dde36fc025a443f
Autor:
Thouraya Merazi-Meksen, Wafa Derouaz
Publikováno v:
2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B).
The interests in Compressed Sensing (CS) come from its ability to provide sampling as well as compression, enhancement, along with encryption of the source information simultaneously. All these advantages have made CS, researched and applied in numer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::790ba587fa30731ad16b447abd6354cd
https://doi.org/10.1109/icee-b.2017.8192082
https://doi.org/10.1109/icee-b.2017.8192082
Publikováno v:
Journal of Nondestructive Evaluation. 36
This paper describes a proposed method for the selection of relevant samples of ultrasonic signals during automatic material inspection. Instead of the well-known time of flight diffraction (TOFD) images, data are stored as a sparse matrix in which t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54824425cb6ad957c3bc81fae44891db
https://doi.org/10.1007/s10921-017-0446-0
https://doi.org/10.1007/s10921-017-0446-0
Publikováno v:
Ultrasonics. 54:1642-1648
The aim of this work is to automate the interpretation of ultrasonic images during the non-destructive testing (NDT) technique called time-of-flight diffraction (TOFD) to aid in decision making. In this paper, the mathematical morphology approach is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b64d4e8260f86905febb59144ad4d900
https://doi.org/10.1016/j.ultras.2014.03.005
https://doi.org/10.1016/j.ultras.2014.03.005
Publikováno v:
CoDIT
Nowadays, ultrasonic images are widely synthesized during non destructive testing of materials in order to improve internal defects detection. However, when large structures are inspected, too useless images are stored and processed. This article des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9df646b550bdc8f2af462e5ac1a6ee9e
https://doi.org/10.1109/codit.2016.7593612
https://doi.org/10.1109/codit.2016.7593612