Zobrazeno 1 - 10
of 5 843
pro vyhledávání: '"Bhat, S"'
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 22, Iss 4, Pp 83-90 (2022)
In Neuropsychology and Occupational medicine, the clinical environment uses upper limb assessment activity, which involves performing a few daily living activities. The main objective of this work is to develop a non-wearable, automated version of
Externí odkaz:
https://doaj.org/article/a062902194fd4042b3f426703afdeeb6
We tackle the problem of class incremental learning (CIL) in the realm of landcover classification from optical remote sensing (RS) images in this paper. The paradigm of CIL has recently gained much prominence given the fact that data are generally o
Externí odkaz:
http://arxiv.org/abs/2309.01050
The present work explores inner structuration of in situ gelling system consisting of glyceryl monooleate (GMO) and oleic acid (OA). The system under study involves investigation of microstructural changes which are believed to govern the pharmaceuti
Externí odkaz:
http://hdl.handle.net/10454/9394
Autor:
Gayakwad, Akash, Joshi, Ashutosh, Vanishree Bhat, S., Gupta, R.K., Manjuladevi, V., Kumar, Sandeep
Publikováno v:
In Journal of Molecular Liquids 15 November 2024 414 Part B
Self-emulsifying systems are mixtures of oils and surfactants, ideally isotropic, sometimes including cosolvents, which emulsify under conditions of gentle agitation, similar to those which would be encountered in the gastrointestinal tract. The proc
Externí odkaz:
http://hdl.handle.net/10454/6125
PURPOSE: Self-emulsifying systems (SES) emulsify spontaneously to produce fine oil-in-water emulsion when introduced into aqueous phase. The self-emulsification process plays an important role during formation of emulsion. The objective of current wo
Externí odkaz:
http://hdl.handle.net/10454/6124
In his paper, we present order reduction techniques for nonlinear quasi-periodic systems subjected to external excitations. The order reduction techniques presented here are based on the Lyapunov-Perrone (L-P) Transformation. For a class of non-reson
Externí odkaz:
http://arxiv.org/abs/2012.00837
In this paper, we propose a novel framework for multi-image co-segmentation using class agnostic meta-learning strategy by generalizing to new classes given only a small number of training samples for each new class. We have developed a novel encoder
Externí odkaz:
http://arxiv.org/abs/2010.08800
Publikováno v:
In Dyes and Pigments December 2023 220
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