Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kabir Nagrecha"'
Autor:
Pratyush Muthukumar, Kabir Nagrecha, Dawn Comer, Chisato Fukuda Calvert, Navid Amini, Jeanne Holm, Mohammad Pourhomayoun
Publikováno v:
Atmosphere, Vol 13, Iss 5, p 822 (2022)
Air pollution is a lethal global threat. To mitigate the effects of air pollution, we must first understand it, find its patterns and correlations, and predict it in advance. Air pollution is highly dependent on spatial and temporal correlations of p
Externí odkaz:
https://doaj.org/article/9b42fb4760414074acb8836024cbeab8
Autor:
Pratyush Muthukumar, Kabir Nagrecha, Jeremy Taub, Mohammad Pourhomayoun, Dawn Comer, Irene Burga, Jeanne Holm, Chisato Fukuda Calvert, Emmanuel Cocom
Publikováno v:
Air Quality, Atmosphere, & Health
Air pollution is one of the world's leading factors for early deaths. Every 5 s, someone around the world dies from the adverse health effects of air pollution. In order to mitigate the effects of air pollution, we must first understand it, find its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::449e4e153182214a916b003cff3cccba
https://doi.org/10.1007/s11869-021-01126-3
https://doi.org/10.1007/s11869-021-01126-3
Publikováno v:
ACM Transactions on Database Systems. 45:1-42
Deep learning now offers state-of-the-art accuracy for many prediction tasks. A form of deep learning called deep convolutional neural networks (CNNs) are especially popular on image, video, and time series data. Due to its high computational cost, C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::192232599e16b89f05dce7561b3f1ae7
https://doi.org/10.1145/3397461
https://doi.org/10.1145/3397461
Autor:
Tonatiuh Rodriguez-Nikl, Mehran Mazari, Luis Fisher, Mohammad Pourhomayoun, Kabir Nagrecha, Michael A. Mooney
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2674:241-249
The earth pressure balance tunnel boring machine (TBM) is advanced excavation machinery used to efficiently drill through subsurface ground layers while placing precast concrete tunnel segments. They have become prevalent in tunneling projects becaus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf40d1f062d73e59404db6f2dee6535
https://doi.org/10.1177/0361198120934796
https://doi.org/10.1177/0361198120934796
Autor:
Kabir Nagrecha
As deep learning becomes more expensive, both in terms of time and compute, inefficiencies in machine learning (ML) training prevent practical usage of state-of-the-art models for most users. The newest model architectures are simply too large to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39196da369dffd57e90c1bc865338e0b
http://arxiv.org/abs/2107.06469
http://arxiv.org/abs/2107.06469
Publikováno v:
CVPR
The problem of machine teaching is considered. A new formulation is proposed under the assumption of an optimal student, where optimality is defined in the usual machine learning sense of empirical risk minimization. This is a sensible assumption for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::def944db18552a86d96d59d49f344354
https://doi.org/10.1109/cvpr46437.2021.00144
https://doi.org/10.1109/cvpr46437.2021.00144
Autor:
Anthony Lyons, Dawn Comer, Pratyush Muthukumar, Mohammad Pourhomayoun, Emmanuel Cocom, Kabir Nagrecha, Jeanne Holm, Irene Burga, Chisato Fukuda Calvert
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
Every five seconds, somebody around the world prematurely dies from the effects of air pollution. Air pollution is one of the world’s leading risk factors for death. To mitigate the deadly effects of air pollution, it is imperative that we understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f41630d6db0a3490f8818e037566fe6c
https://doi.org/10.1109/csci51800.2020.00094
https://doi.org/10.1109/csci51800.2020.00094