Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Pham Viet Binh"'
Publikováno v:
In Thin-Walled Structures June 2023 187
Publikováno v:
In Journal of Constructional Steel Research May 2021 180
Akademický článek
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Publikováno v:
CE/Papers; Sep2023, Vol. 6 Issue 3/4, p1387-1392, 6p
New Design Approach to High-Strength Steel Staggered-Hole Bolted Connections Failing in Block Shear.
Publikováno v:
Journal of Structural Engineering; May2022, Vol. 148 Issue 5, p1-15, 15p
Publikováno v:
Health informatics journal. 21(1)
Sharing a medical image visually annotated by a region of interest with a remotely located specialist for consultation is a good practice. It may, however, require a special-purpose (and most likely expensive) system to send and view them, which is a
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319059389
ICCASA
ICCASA
Fuzzy Associative Memory (FAM) is a neural network that stores associations of patterns. The most important advantage of FAM is recalling stored patterns from noisy inputs (noise tolerance). Some FAMs only show associations or content of pattern sepa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eaed2ed3b838ceeab9899bb0de687c1
https://doi.org/10.1007/978-3-319-05939-6_22
https://doi.org/10.1007/978-3-319-05939-6_22
Publikováno v:
2008 International Conference on Advanced Technologies for Communications.
There are several methods and standards for speech coding. Most of them are used for narrowband speech. In multimedia communication systems, wideband speech coding plays an important role. Wavelet is an efficient signal processing tool for speech cod
Publikováno v:
International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).
This study proposes novel robust text-independent speaker identification based on the discrete wavelet transform (DWT), the mel-frequency discrete wavelet coefficients (MFDWC), the wavelet-based sub-band weighting and the likelihood combination Gauss
Akademický článek
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