Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Balaji, Ramesh"'
Multi-kernel learning has been well explored in the recent past and has exhibited promising outcomes for multi-class classification and regression tasks. In this paper, we present a multiple kernel learning approach for the One-class Classification (
Externí odkaz:
http://arxiv.org/abs/1805.07892
Autor:
Balaji Ramesh, Rashida Callender, Benjamin F. Zaitchik, Meredith Jagger, Samarth Swarup, Julia M. Gohlke
Publikováno v:
GeoHealth, Vol 7, Iss 4, Pp n/a-n/a (2023)
Abstract Remotely sensed inundation may help to rapidly identify areas in need of aid during and following floods. Here we evaluate the utility of daily remotely sensed flood inundation measures and estimate their congruence with self‐reported home
Externí odkaz:
https://doaj.org/article/14867ca80bbf4a88b6d220bc00366fd1
Publikováno v:
Healthcare, Vol 10, Iss 10, p 2016 (2022)
Concentrated animal-feeding operations (CAFOs) emit pollution into surrounding areas, and previous research has found associations with poor health outcomes. The objective of this study was to investigate if home proximity to poultry CAFOs during pre
Externí odkaz:
https://doaj.org/article/4355f75e635445d99e9906024debc1d3
Autor:
Anna E. Brower, Bianca Corpuz, Balaji Ramesh, Benjamin Zaitchik, Julia M. Gohlke, Samarth Swarup
Publikováno v:
Weather, Climate, and Society. 15:177-193
Machine learning was applied to predict evacuation rates for all census tracts affected by Hurricane Laura. The evacuation ground truth was derived from cellular telephone–based mobility data. Twitter data, census data, geographical data, COVID-19
Publikováno v:
at - Automatisierungstechnik. 70:815-822
Dieffenbacher has developed a completely new software platform for the digitalization of wood-based panel production plants. The name of the Platform is EVORIS. This article explains how smart data processing in production, with the help of artificia
Autor:
Benjamin F. Zaitchik, Julia M. Gohlke, Meredith A. Jagger, Lauren Deanes, Samarth Swarup, Korine N. Kolivras, Balaji Ramesh
Publikováno v:
Journal of exposure science & environmental epidemiology
Background Flooding following heavy rains precipitated by hurricanes has been shown to impact the health of people. Earth observations can be used to identify inundation extents for subsequent analysis of health risks associated with flooding at a fi
Autor:
Balaji Ramesh, Meredith A. Jagger, Benjamin Zaitchik, Korine N. Kolivras, Samarth Swarup, Lauren Deanes, Elaine Hallisey, J. Danielle Sharpe, Julia M. Gohlke
Publikováno v:
International Journal of Disaster Risk Reduction. 76:102986
Autor:
Korine N. Kolivras, Meredith A. Jagger, Ben Zaitchik, Julia M. Gohlke, Lauren Deanes, Samarth Swarup, Balaji Ramesh
Purpose:Flooding following heavy rains precipitated by hurricanes/tropical storms has previously been shown to increase fecal-oral diseases, vector-borne disease transmission and pregnancy complica...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a96fd5359506a73012b12cfd10d7250b
https://doi.org/10.1002/essoar.10506831.1
https://doi.org/10.1002/essoar.10506831.1
Autor:
Balaji Ramesh, Meredith A. Jagger, Benjamin F. Zaitchik, Korine N. Kolivras, Samarth Swarup, Biru Yang, Bianca G. Corpuz, Julia M. Gohlke
Publikováno v:
Health & Place. 74:102757
Satellite observations following flooding coupled with electronic health data collected through syndromic surveillance systems (SyS) may be useful in efficiently characterizing and responding to health risks associated with flooding.There was a 10% (