Accurate and Fast Classification of Natural Disasters using CNN-LSTM and Inference Acceleration

Accurate and Fast Classification of Natural Disasters using CNN-LSTM and Inference Acceleration

Catastrophic occurrences induced by disasters often lead to fatalities, extensive damage, and societal disruptions. In pursuit of realizing disaster-resilient smart cities, video surveillance systems incorporating artificial intelligence (AI) can automatically process and classify the disaster conte...

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Bibliographic Details
Main Authors: Nathaniel Sze Yang Tan, Mau-Luen Tham, Sing Yee Chua, Ying Loong Lee
Format: Article
Language:English
Published: Croatian Communications and Information Society (CCIS) 2024-03-01
Series:Journal of Communications Software and Systems
Subjects:
cnn-lstm
deep learning
disaster classification
inference optimization
openvino
Online Access:https://jcoms.fesb.unist.hr/10.24138/jcomss-2023-0129/

Internet

https://jcoms.fesb.unist.hr/10.24138/jcomss-2023-0129/

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