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Human-AI Symbiosis: Decode Climate Change to Prevent Heat-R..:

, In: 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC),

Ilapakurti, Anitha ; Kedari, Sharat ; Vuppalapati, Rajasekar... - p. 331-338 , 2019

Link: https://doi.org/10.1109/CSE/EUC.2019.00070

RT 
T1 <cTitle>2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)</cTitle>: T1 <Title>Human-AI Symbiosis: Decode Climate Change to Prevent Heat-Related Mortalities and to Protect Our Most Vulnerable Population</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-8919601&Exemplar=1&LAN=DE
				
A1 Ilapakurti, Anitha
A1 Kedari, Sharat
A1 Vuppalapati, Rajasekar
A1 Kedari, Santosh
A1 Vuppalapati, Jaya Shankar
A1 Vuppalapati, Chandrasekar
YR 2019
K1 Meteorology
K1 Heating systems
K1 Global warming
K1 Ocean temperature
K1 Senior citizens
K1 Asia
K1 Machine learning
K1 Climate change
K1 Cluster
K1 Electronic Health Records
K1 Sanjeevani EHR
K1 Naïve Bayesian
K1 Apriori Algorithm
K1 Item set
K1 Machine Learning
K1 and Outpatient
K1 Hanumayamma Innovations and Technologies, Inc
SP 331
OP 338
LK http://dx.doi.org/https://doi.org/10.1109/CSE/EUC.2019.00070
DO https://doi.org/10.1109/CSE/EUC.2019.00070
SF ELIB - SuUB Bremen

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