Výsledky vyhledávání - "Kumara, Soundar"

Akademický článek

Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach

Autor: Mehta, Mihir, Julaiti, Juxihong, Griffin, Paul, Kumara, Soundar

Publikováno v: JMIR Public Health and Surveillance, Vol 6, Iss 3, p e19446 (2020)

BackgroundThe rapid spread of COVID-19 means that government and health services providers have little time to plan and design effective response policies. It is therefore important to quickly provide accurate predictions of how vulnerable geographic

Externí odkaz: https://doaj.org/article/8ecaba6a156944dea0f6a8d66651ac6d

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Akademický článek

Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study

Autor: Zhao, Hui, Muthupandi, Sowmyasri, Kumara, Soundar

Publikováno v: Journal of Medical Internet Research, Vol 22, Iss 8, p e17239 (2020)

BackgroundOnline pharmacies have grown significantly in recent years, from US $29.35 billion in 2014 to an expected US $128 billion in 2023 worldwide. Although legitimate online pharmacies (LOPs) provide a channel of convenience and potentially lower

Externí odkaz: https://doaj.org/article/eae653b1d35d4fb89e94e8a95a6eb60f

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Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing

Autor: Verma, Ankur, Oh, Seog-Chan, Arinez, Jorge, Kumara, Soundar

Manufacturing energy consumption data contains important process signatures required for operational visibility and diagnostics. These signatures may be of different temporal scales, ranging from monthly to sub-second resolutions. We introduce a hier

Externí odkaz: http://arxiv.org/abs/2402.15962

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Akademický článek

A MIL-based approach for welding defect classification

Autor: Zhou, Chen, Basu, Saurabh, Kumara, Soundar

Publikováno v: In Manufacturing Letters October 2024 41 Supplement:1366-1375

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Emergency Equity: Access and Emergency Medical Services in San Francisco

Autor: Newton, Robert, Kumara, Soundar, Griffin, Paul

In 2020, California required San Francisco to consider equity in access to resources such as housing, transportation, and emergency services as it re-opened its economy post-pandemic. Using a public dataset maintained by the San Francisco Fire Depart

Externí odkaz: http://arxiv.org/abs/2109.03789

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