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pro vyhledávání: '"Sagar, Aman"'
This paper presents a deep learning framework for the multi-class classification of gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) frames. The aim is to automate the identification of ten GI abnormality classes, including angioectasi
Externí odkaz:
http://arxiv.org/abs/2410.18457
The rapid advancements in computer graphics have greatly enhanced the quality of computer-generated images (CGI), making them increasingly indistinguishable from authentic images captured by digital cameras (ADI). This indistinguishability poses sign
Externí odkaz:
http://arxiv.org/abs/2409.04742
\textbf{Purpose} This study aims to address the growing challenge of distinguishing computer-generated imagery (CGI) from authentic digital images in the RGB color space. Given the limitations of existing classification methods in handling the comple
Externí odkaz:
http://arxiv.org/abs/2409.04734
An increasing number of classification approaches have been developed to address the issue of image rebroadcast and recapturing, a standard attack strategy in insurance frauds, face spoofing, and video piracy. However, most of them neglected scale va
Externí odkaz:
http://arxiv.org/abs/2407.17170
Publikováno v:
Information Technologies & International Development. Fall2007, Vol. 4 Issue 1, p37-50. 14p. 3 Color Photographs, 8 Diagrams, 2 Charts.
Publikováno v:
WWW
This paper is based on our exploratory study of a South Indian village in Chamrajanagar district of Karnataka. The study was to understand the rural communication environment and villagers. communication preferences. We examined people's lifestyle, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a10c5e0d1260e47a7a779c67db4ace86
https://doi.org/10.1145/1242572.1242688
https://doi.org/10.1145/1242572.1242688
Autor:
Joshi, Dhaval, Sagar, Aman
Publikováno v:
Mobility: International Conference on Mobile Technology, Applications & Systems; Oct2007, p595-598, 4p