Zobrazeno 1 - 10
of 148
pro vyhledávání: '"B. Prabhakara Rao"'
Publikováno v:
International Journal of Antennas and Propagation, Vol 2008 (2008)
This paper presented a theoretical and numerical assessment for nonidentical segmented exponential- (NISE-) convex and NISE-concave serrated plane CATRs by changing number of serrations. The investigation was based on diffraction theory and, more spe
Externí odkaz:
https://doaj.org/article/30352e1734d3454fa1c40800591e4d3f
Publikováno v:
The Imaging Science Journal. 68:170-178
An architecture for automatic lung tissue classification method based on the Deep Learning techniques is designed in this paper. Recent works on Deep Learning techniques achieved impressive results...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13d52d816bd846f1c4db6c259b8c2a9e
https://doi.org/10.1080/13682199.2020.1781394
https://doi.org/10.1080/13682199.2020.1781394
Publikováno v:
Evolutionary Intelligence. 15:1265-1278
Cognitive radio is trending domain, which provides strong solution for addressing spectrum scarcity issues. Many cognitive radios standards suffer from high peak to average power ratio (PAPR), which may distort transmitted signal. This paper proposes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43e2b3768c56bfc3b251fb807856217b
https://doi.org/10.1007/s12065-020-00376-x
https://doi.org/10.1007/s12065-020-00376-x
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:4067-4079
In recent times, the medical imaging becomes an indispensable tool in clinical practice. Due to the large volume of medical images, compression is needed to lessen the redundancies in the image and also to represent the image in shorter manner for ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5748be2ebc3557a252ffb056b3d82c6c
https://doi.org/10.1007/s12652-020-01782-w
https://doi.org/10.1007/s12652-020-01782-w
This article presents an image compression method using feed-forward back-propagation neural networks (NNs). Marked progress has been made in the area of image compression in the last decade. Image compression removing redundant information in image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07ab7636b9617a04d2a190bff08aaa1f
https://doi.org/10.4018/978-1-6684-2408-7.ch042
https://doi.org/10.4018/978-1-6684-2408-7.ch042
Publikováno v:
Advanced Technologies and Societal Change ISBN: 9789811940439
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b76e26dfc5c5e42e3f46f0ac56c5906a
https://doi.org/10.1007/978-981-19-4044-6_10
https://doi.org/10.1007/978-981-19-4044-6_10
Publikováno v:
The Computer Journal. 63:308-321
For the past few years, the automated addressing of changes in remote sensing images plays a significant role. However, the change detection (CD) model often suffers from the issue of speckle noise. More investigations have been proceeded to overcome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4853e8c086c4150149bcaaf442165766
https://doi.org/10.1093/comjnl/bxz130
https://doi.org/10.1093/comjnl/bxz130
Publikováno v:
International Journal of Applied Metaheuristic Computing. 10:91-111
This article presents an image compression method using feed-forward back-propagation neural networks (NNs). Marked progress has been made in the area of image compression in the last decade. Image compression removing redundant information in image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a50ce5073458c7504c19a5a871585f4f
https://doi.org/10.4018/ijamc.2019100106
https://doi.org/10.4018/ijamc.2019100106
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:673-673
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc4f0ed596b47e56abe94106f73d60a1
https://doi.org/10.1007/s12652-022-04313-x
https://doi.org/10.1007/s12652-022-04313-x
Autor:
B. Bhaskara Rao, B. Prabhakara Rao
Publikováno v:
International Journal of Biomedical Engineering and Technology. 38:286
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::054b6b95bb604da86778ad0813f85e09
https://doi.org/10.1504/ijbet.2022.10045964
https://doi.org/10.1504/ijbet.2022.10045964