Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Anil Kumar Vadathya"'
Autor:
Anil Kumar Vadathya, Tatyana Garza, Uzair Alam, Alex Ho, Salma M.A. Musaad, Alicia Beltran, Jennette P. Moreno, Tom Baranowski, Nimah Haidar, Sheryl O. Hughes, Jason A. Mendoza, Ashok Veeraraghavan, Joseph Young, Akane Sano, Teresia M. O’Connor
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract TV viewing is associated with health risks, but existing measures of TV viewing are imprecise due to relying on self-report. We developed the Family Level Assessment of Screen use in the Home (FLASH)-TV, a machine learning pipeline with stat
Externí odkaz:
https://doaj.org/article/4119344888464bf8af0a7148cf14a384
Autor:
Oriana Perez, Tatyana Garza, Olivia Hindera, Alicia Beltran, Salma M Musaad, Tracey Dibbs, Anu Singh, Shria Chug, Amy Sisson, Anil Kumar Vadathya, Tom Baranowski, Teresia M O'Connor
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0283714 (2023)
ObjectiveAccurate measurement of adult and child screen media use are needed to robustly assess its impact on health outcomes. Our objective was to systematically review screen media use measurement tools that have been validated against an objective
Externí odkaz:
https://doaj.org/article/49b419d80e9141608fb52d9bca5ffb22
Autor:
Oriana Perez, Anil Kumar Vadathya, Alicia Beltran, R Matthew Barnett, Olivia Hindera, Tatyana Garza, Salma M Musaad, Tom Baranowski, Sheryl O Hughes, Jason A Mendoza, Ashutosh Sabharwal, Ashok Veeraraghavan, Teresia M O'Connor
Publikováno v:
JMIR Formative Research, Vol 6, Iss 10, p e40452 (2022)
BackgroundThere is a strong association between increased mobile device use and worse dietary habits, worse sleep outcomes, and poor academic performance in children. Self-report or parent-proxy report of children’s screen time has been the most co
Externí odkaz:
https://doaj.org/article/12300705b3954f6c81ff2f6f003503ce
Autor:
Anil Kumar Vadathya, Salma Musaad, Alicia Beltran, Oriana Perez, Leo Meister, Tom Baranowski, Sheryl O Hughes, Jason A Mendoza, Ashutosh Sabharwal, Ashok Veeraraghavan, Teresia O'Connor
Publikováno v:
JMIR Pediatrics and Parenting, Vol 5, Iss 1, p e33569 (2022)
BackgroundTelevision viewing among children is associated with developmental and health outcomes, yet measurement techniques for television viewing are prone to errors, biases, or both. ObjectiveThis study aims to develop a system to objectively and
Externí odkaz:
https://doaj.org/article/b5aa95321c844d3cac9b10d14ab5641c
Autor:
Nidal Moukaddam, Vishwanath Saragadam, Mahsan Abbasi, Matt Barnett, Anil Kumar Vadathya, Ashok Veeraraghavan, Ashutosh Sabharwal
Publikováno v:
Cureus. 14(10)
Background The severe acute respiratory syndrome coronavirus 2 global pandemic, with its associated coronavirus disease 2019 (COVID-19) illness, has led to significant mental, physical, social, and economic hardships. Physical distancing, isolation,
Publikováno v:
IEEE Transactions on Computational Imaging. 6:304-316
Light fields present a rich way to represent the 3D world by capturing the spatio-angular dimensions of the visual signal. However, the popular way of capturing light fields (LF) via a plenoptic camera presents a spatio-angular resolution trade-off.
Autor:
Anil Kumar Vadathya, Salma Musaad, Alicia Beltran, Oriana Perez, Leo Meister, Tom Baranowski, Sheryl O Hughes, Jason A Mendoza, Ashutosh Sabharwal, Ashok Veeraraghavan, Teresia O'Connor
Publikováno v:
JMIR pediatrics and parenting. 5(1)
Background Television viewing among children is associated with developmental and health outcomes, yet measurement techniques for television viewing are prone to errors, biases, or both. Objective This study aims to develop a system to objectively an
Publikováno v:
IEEE Transactions on Computational Imaging. 5:37-51
Signal reconstruction is a challenging aspect of computational imaging as it often involves solving ill-posed inverse problems. Recently, deep feed-forward neural networks have led to state-of-the-art results in solving various inverse imaging proble
Autor:
Anil Kumar Vadathya, Vijayalakshmi Kanchana, Kaushik Mitra, Saikiran Cholleti, Gautham Ramajayam
Publikováno v:
ACPR
Light field imaging is a rich way of representing the 3D world around us. However, due to limited sensor resolution capturing light field data inherently poses spatio-angular resolution trade-off. In this paper, we propose a deep learning based solut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b19802ad7871e19538125ecc1a0cb700
Autor:
Vadathya, Anil Kumar1 (AUTHOR), Garza, Tatyana2 (AUTHOR), Alam, Uzair2 (AUTHOR), Ho, Alex3 (AUTHOR), Musaad, Salma M.A.2 (AUTHOR), Beltran, Alicia2 (AUTHOR), Moreno, Jennette P.2 (AUTHOR), Baranowski, Tom2 (AUTHOR), Haidar, Nimah3 (AUTHOR), Hughes, Sheryl O.2 (AUTHOR), Mendoza, Jason A.4,5 (AUTHOR), Veeraraghavan, Ashok1 (AUTHOR), Young, Joseph1 (AUTHOR), Sano, Akane1 (AUTHOR), O'Connor, Teresia M.2 (AUTHOR) teresiao@bcm.edu
Publikováno v:
Scientific Reports. 11/30/2024, Vol. 14 Issue 1, p1-11. 11p.