Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Suresh Kumaraswamy"'
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract Automatic caption generation with attention mechanisms aims at generating more descriptive captions containing coarser to finer semantic contents in the image. In this work, we use an encoder-decoder framework employing Wavelet transform bas
Externí odkaz:
https://doaj.org/article/2955d02f1cad499e9b041c2f0ae0bb66
Autor:
Suresh Kumaraswamy, Aswathy Madhu
Publikováno v:
Circuits, Systems, and Signal Processing. 41:7035-7056
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5918b7bfddac0df11f930f10f833330
https://doi.org/10.1007/s00034-022-02107-2
https://doi.org/10.1007/s00034-022-02107-2
Autor:
Suresh Kumaraswamy, Aswathy Madhu
Publikováno v:
Artificial Intelligence Review. 55:6301-6320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1406f8654cc0aa8ca669d1a47cdf26e0
https://doi.org/10.1007/s10462-022-10153-0
https://doi.org/10.1007/s10462-022-10153-0
Autor:
Suresh Kumaraswamy, Aswathy Madhu
Publikováno v:
EUSIPCO
Various types of deep learning architecture have been steadily gaining impetus for automatic environmental sound classification. However, the relative paucity of publicly accessible dataset hinders any further improvement in this direction. This work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4f538fc63b842f54b6f813b8286bc57
https://doi.org/10.23919/eusipco.2019.8902819
https://doi.org/10.23919/eusipco.2019.8902819
Publikováno v:
India Together; 6/5/2024, pN.PAG-N.PAG, 1p
Autor:
Suresh Kumaraswamy, Sreenivas, T. V.
Publikováno v:
Scopus-Elsevier
In this paper, expressions for convolution multiplication properties of MDCT are derived starting from the equivalent DFT representations. Using these expressions, methods for implementing linear filtering through block convolution in the MDCT domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8598f98c22502e604a02584a2c6733ec
http://www.scopus.com/inward/record.url?eid=2-s2.0-84866489120&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84866489120&partnerID=MN8TOARS
Publikováno v:
Journal of Big Data; 2/8/2023, Vol. 10 Issue 1, p1-18, 18p
Autor:
K.C. Raveendranathan
Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book foc