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ARIA : interactive damage prediction system for urban fl..:

, In: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers,

Hiroi, Kei ; Inoue, Tomoya ; Akashi, Kunio... - p. 284-287 , 2019

Link: https://dl.acm.org/doi/10.1145/3341162.3343823

RT 
T1 <cTitle>Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>ARIA				: interactive damage prediction system for urban flood using simulation and emulation federation platform</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3343823&Exemplar=1&LAN=DE
				
A1 Hiroi, Kei
A1 Inoue, Tomoya
A1 Akashi, Kunio
A1 Yumura, Tsubasa
A1 Miyachi, Toshiyuki
A1 Hironaka, Hayate
A1 Kanno, Hironobu
A1 Shinoda, Yoichi
PB ACM
YR 2019
K1 data assimilation
K1 disaster prediction
K1 simulation
K1 Social and professional topics
K1 User characteristics
K1 Geographic characteristics
K1 Hardware
K1 Emerging technologies
K1 Analysis and design of emerging devices and systems
K1 Emerging simulation
K1 Communication hardware, interfaces and storage
K1 Sensor applications and deployments
SP 284
OP 287
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341162.3343823
DO https://dl.acm.org/doi/10.1145/3341162.3343823
SF ELIB - SuUB Bremen

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