Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Aditi Anand"'
Publikováno v:
Frontiers in Radiology, Vol 3 (2024)
Artificial Intelligence (AI) methods, particularly Deep Neural Networks (DNNs), have shown great promise in a range of medical imaging tasks. However, the susceptibility of DNNs to producing erroneous outputs under the presence of input noise and var
Externí odkaz:
https://doaj.org/article/bfdd15c97ff94ba18b0d4f4bc968798b
Autor:
Michael Sobolev, Aditi Anand, John J. Dziak, Lindsey N. Potter, Cho Y. Lam, David W. Wetter, Inbal Nahum-Shani
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
ObjectiveInsufficient engagement is a critical barrier impacting the utility of digital interventions and mobile health assessments. As a result, engagement itself is increasingly becoming a target of studies and interventions. The purpose of this st
Externí odkaz:
https://doaj.org/article/75d6c2c7a47c4a3ca210a78a64541088
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Quantifying the similarity between artificial neural networks (ANNs) and their biological counterparts is an important step toward building more brain-like artificial intelligence systems. Recent efforts in this direction use neural predictivity, or
Externí odkaz:
https://doaj.org/article/7958e4ca81514cd68ab39fbb5b1f5fe2
Autor:
Aditi Anand Apte
Publikováno v:
Perspectives in Clinical Research, Vol 7, Iss 3, Pp 111-114 (2016)
Pharmacovigilance is an evolving discipline in the Indian context. However, there is limited regulatory guidance for adverse event reporting outside the purview of clinical trials. There are number of deficiencies in the framework for adverse event r
Externí odkaz:
https://doaj.org/article/857dec987d8c4b51ae7e0d380eaa993d
Publikováno v:
National Journal of Physiology, Pharmacy & Pharmacology; 2024, Vol. 14 Issue 10, p2035-2040, 6p
Artificial Intelligence (AI) methods, particularly Artificial Neural Networks (ANNs) have shown great promise in a range of medical imaging tasks. Despite their promise, the susceptibility of ANNs to produce erroneous outputs under the presence of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b30ec5227f00ce757ce6bc22205316a0
https://doi.org/10.1101/2023.04.10.23288377
https://doi.org/10.1101/2023.04.10.23288377
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 10:709-712
In today's world, the face uses expressions to convey tons of knowledge visually, hence Emotion-Recognition System can be a important focus within the space of computer-user contact. Our emotions area unit is conveyed through the stimulation of uniqu
Publikováno v:
Futuristic Communication and Network Technologies ISBN: 9789811983375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::940c79ecc2f90f5ac66a3a5f3c631534
https://doi.org/10.1007/978-981-19-8338-2_3
https://doi.org/10.1007/978-981-19-8338-2_3
The covid pandemic impacted the nation drastically and caused things to stir up in the economy. According to some, the economy was paralyzed, while certain areas of varied sectors reached their peaks. This paper aims to draw focus specifically toward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59c25b546b34f4ba0d76202421cd8ace
Autor:
Apte, Aditi Anand1 dr.aditiapte@gmail.com
Publikováno v:
Perspectives in Clinical Research. Jul-Sep2016, Vol. 7 Issue 3, p111-114. 4p.