Towards effective prioritizing water pipe replacement and rehabilitation

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2013, Pages 2931-2937

  Yan, Junchi ^a,b   Wang, Yu ^b   Zhou, Ke ^c   Huang, Jin ^b   Tian, Chunhua ^b   Zha, Hongyuan ^c   Dong, Weishan ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b IBM CHINA RESEARCH LAB   (China)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL SYSTEM; FAILURE PREDICTION; LEARNING-BASED METHODS; MACHINE LEARNING COMMUNITIES; OPERATIONAL CONDITIONS; PREVENTATIVE MAINTENANCE; SUSTAINABLE SOCIETY; TEMPORAL CLUSTERING;

ARTIFICIAL INTELLIGENCE; CIVIL ENGINEERING; JOINT PROSTHESES; RANDOM PROCESSES; WATER PIPING SYSTEMS;

WATER PIPELINES;

EID: 84896063468     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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