Zobrazeno 1 - 10
of 733
pro vyhledávání: '"Saurav K"'
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 16, Iss 5, Pp 339-342 (2024)
Introduction: The main goal of the root-end filling material is to create a hermetic seal to protect against microbes and their by-products. Excellent biocompatibility and sealing ability are characteristics of MTA developed by Torabinejad et al. Thi
Externí odkaz:
https://doaj.org/article/4926e7d3e28946878f41658ab1e1d8c9
Publikováno v:
Electrochemical Science Advances, Vol 4, Iss 2, Pp n/a-n/a (2024)
Abstract Gold star (AuST), which is one of the important anisotropic gold structures, finds applications in catalysis, sensing, and photothermal therapy by virtue of its branches of high aspect ratio. The preparation of AuSTs can prove challenging as
Externí odkaz:
https://doaj.org/article/68840a48b25c4ff2813e09f5de5162dd
Publikováno v:
Russian Journal of Agricultural and Socio-Economic Sciences, Vol 126, Iss 6, Pp 170-180 (2022)
Testing the multicollinearity problem upon the empirical estimation of the Cobb-Douglas production function forms a major part of the research analysis, but many analysts avoid it, which may cause a statistical error on the regression coefficients an
Externí odkaz:
https://doaj.org/article/8d460047bc2940ed956c95074ba0be5d
Autor:
Alok Atreya, Rijen Shrestha, Kiran Bhandari, Saurav K. Malla, Sumnima Acharya, Ritesh G. Menezes
Publikováno v:
Health Science Reports, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract Background Estimation of sex of the skeletal remains plays a vital part in the identification of an individual. This study is focused on the morphometric measurements of the foramen magnum region and examining the accuracy of sexual dimorphi
Externí odkaz:
https://doaj.org/article/885ce534d4b9413b99318b21abd43fb6
Autor:
Shastri, Saurav K., Schniter, Philip
Accurately recovering images from phaseless measurements is a challenging and long-standing problem. In this work, we present "deepECpr," which combines expectation-consistent (EC) approximation with deep denoising networks to surpass state-of-the-ar
Externí odkaz:
http://arxiv.org/abs/2407.09687
Publikováno v:
AAAI 2023
Sentiment analysis is a fundamental and valuable task in NLP. However, due to limitations in data and technological availability, research into sentiment analysis of African languages has been fragmented and lacking. With the recent release of the Af
Externí odkaz:
http://arxiv.org/abs/2310.14120
The human ear is generally universal, collectible, distinct, and permanent. Ear-based biometric recognition is a niche and recent approach that is being explored. For any ear-based biometric algorithm to perform well, ear detection and segmentation n
Externí odkaz:
http://arxiv.org/abs/2211.02799
With increasing globalization and immigration, various studies have estimated that about half of the world population is bilingual. Consequently, individuals concurrently use two or more languages or dialects in casual conversational settings. Howeve
Externí odkaz:
http://arxiv.org/abs/2210.16461
The average life expectancy is increasing globally due to advancements in medical technology, preventive health care, and a growing emphasis on gerontological health. Therefore, developing technologies that detect and track aging-associated disease i
Externí odkaz:
http://arxiv.org/abs/2209.06085
To solve inverse problems, plug-and-play (PnP) methods replace the proximal step in a convex optimization algorithm with a call to an application-specific denoiser, often implemented using a deep neural network (DNN). Although such methods yield accu
Externí odkaz:
http://arxiv.org/abs/2206.05049