Disaster management in smart cities by forecasting traffic plan using deep learning and GPUs

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Volumn 224, Issue , 2018, Pages 139-154

  Aqib, Muhammad ^a   Mehmood, Rashid ^a   Albeshri, Aiiad ^a   Alzahrani, Ahmed ^a  

^a KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Convolution neural networks; Deep learning; Disaster management; GPUs; Smart cities

Indexed keywords

DISASTER PREVENTION; DISASTERS; DISTRIBUTED COMPUTER SYSTEMS; FORECASTING; LEARNING ALGORITHMS; LOSSES; PROGRAM PROCESSORS; SMART CITY; VEHICULAR AD HOC NETWORKS;

CONVOLUTION NEURAL NETWORK; DEPARTMENT FOR TRANSPORTS; DISASTER MANAGEMENT; EMERGENCY SITUATION; EVACUATION STRATEGY; GPUS; LEARNING APPROACH; NATURAL AND MAN-MADE DISASTERS;

DEEP LEARNING;

EID: 85051120110     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-94180-6_15     Document Type: Conference Paper

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