Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Stefan Gheorghe Pentiuc"'
Publikováno v:
Journal of Applied Computer Science & Mathematics, Vol 14, Iss 2, Pp 9-14 (2020)
Hyperspectral Images are a challenging area because of big dimensions, spatial and spectral low resolution. This paper aims to propose a method to provide an accurate and quick classification based on tensor decomposition and map segmentation. For re
Externí odkaz:
https://doaj.org/article/3faf9165a9dc448db3dc6aeecf06d9c8
Publikováno v:
e-Informatica Software Engineering Journal, Vol 6, Iss 1, Pp 39-45 (2012)
Grid computing is a fast evolving technology, bringing more computing power to its users. Two main directions are observable: creating dedicated supercomputers for scientific and commercial tasks and creating distributed commodity-based systems. The
Externí odkaz:
https://doaj.org/article/bfc12c1be6704f44a9c657ddfa9ade58
Publikováno v:
Journal of Applied Computer Science & Mathematics, Vol 3, Iss 6, Pp 28-32 (2009)
Lately, the children with speech disorder have moreand more become object of specialists’ attention and investmentin speech disorder therapy are increasing The development anduse of information technology in order to assist and followspeech disorde
Externí odkaz:
https://doaj.org/article/58de0b14179b4d9789f797e6090311bc
Publikováno v:
Journal of Applied Computer Science & Mathematics, Vol 2, Iss 4, Pp 40-43 (2008)
In this paper we present our researches regarding automat parsing of audio recordings. These recordings are obtained from children with dyslalia and are necessary for an accurate identification of speech problems. We develop a software application th
Externí odkaz:
https://doaj.org/article/86a37076736d4ab49d8afcb964ed57dc
Autor:
Laura BILIUS, Stefan-Gheorghe Pentiuc
Publikováno v:
Journal of Social Sciences. :6-12
The system for biannual teachers’ evaluation made by students, acquires a large amount of information that becomes difficult to be analyzed by a manager. It is true that delivers a final score, but it is calculated based only on the answers to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea8b3457646d7354ade502de43ca2828
https://doi.org/10.52326/jss.utm.2022.5(1).01
https://doi.org/10.52326/jss.utm.2022.5(1).01
Publikováno v:
2022 International Conference on Development and Application Systems (DAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea4bede5d3851ffde22a1bee310dff4d
https://doi.org/10.1109/das54948.2022.9786148
https://doi.org/10.1109/das54948.2022.9786148
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5684, p 5684 (2020)
Sensors
Volume 20
Issue 19
Sensors, Vol 20, Iss 5684, p 5684 (2020)
Sensors
Volume 20
Issue 19
Hyperspectral images (HSIs) are a powerful tool to classify the elements from an area of interest by their spectral signature. In this paper, we propose an efficient method to classify hyperspectral data using Voronoi diagrams and strong patterns in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f2bb5d6834d964af4beaf2d583bfd0c
http://europepmc.org/articles/PMC7582408
http://europepmc.org/articles/PMC7582408
Publikováno v:
Symmetry, Vol 12, Iss 2, p 277 (2020)
Symmetry
Volume 12
Issue 2
Symmetry
Volume 12
Issue 2
Hyperspectral images are becoming a valuable tool much used in agriculture, mineralogy, and so on. The challenge is to successfully classify the materials founded in the field relevant for different applications. Due to a large amount of data corresp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8c8b2169bd47c008c585a51f9021b29
https://www.mdpi.com/2073-8994/12/2/277
https://www.mdpi.com/2073-8994/12/2/277
Publikováno v:
Journal of Applied Computer Science & Mathematics, Vol 12, Iss 2, Pp 20-24 (2018)
The restoration of digital images has become highly sought over time and this is why so many algorithms that promise a more optimal and undistorted outcome have appeared. This paper presents an algorithm for rebuilding missing areas in digital images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bda14f8fbc93a430bd1ca8d202a5c96
https://jacsm.ro/view/?pid=26_3
https://jacsm.ro/view/?pid=26_3
Publikováno v:
23rd International Conference on System Theory, Control and Computing, ICSTCC 2019
23rd International Conference on System Theory, Control and Computing, ICSTCC 2019, Oct 2019, Sinaia, Romania. ⟨10.1109/ICSTCC.2019.8885627⟩
ICSTCC
23rd International Conference on System Theory, Control and Computing, ICSTCC 2019, Oct 2019, Sinaia, Romania. ⟨10.1109/ICSTCC.2019.8885627⟩
ICSTCC
International audience; The advantage of hyperspectral image is the possibility to access the spectral signature for each pixel having the capability to see the unseen. The classifiers used for hyperspectral images can be deeply studied and analyzed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1827e127f8587c621281384432f9250b
https://hal.archives-ouvertes.fr/hal-02350010
https://hal.archives-ouvertes.fr/hal-02350010
