Cognitive video surveillance management in hierarchical edge computing system with long short-term memory model

HIGHLIGHTS

• who: LSTM and collaborators from the Department of Computing, Gachon University, Seongnam-si, Republic of Korea have published the research work: Cognitive Video Surveillance Management in Hierarchical Edge Computing System with Long Short-Term Memory Model, in the Journal: Sensors 2023, 23, 2869. of 20/01/2023
• what: The authors aim to reduce standby GPU memory by model release while avoiding unnecessary model reloads for a sudden object appearance. The authors design a novel cognitive video surveillance management system with an LSTM model for a cost-effective video surveillance system. The aim of this module . . .
  

   

  

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