Task offloading with enhanced Deep Q-Networks for efficient industrial intelligent video analysis in edge–cloud collaboration-Reference-Cited by-同舟云学术

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Task offloading with enhanced Deep Q-Networks for efficient industrial intelligent video analysis in edge–cloud collaboration

Published:2024-10 Issue: Volume:62 Page:102599
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Ji Xiaofeng,Gong Faming,Wang Nuanlai,Du Chengze,Yuan Xiangbing

Funder

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Reference46 articles.

1. Onsite video mining for construction hazards identification with visual relationships;Xiong;Adv. Eng. Inform.,2019

2. Identifying shoplifting behaviors and inferring behavior intention based on human action detection and sequence analysis;Kim;Adv. Eng. Inform.,2021

3. Deep-learning-based anomaly detection for lace defect inspection employing videos in production line;Lu;Adv. Eng. Inform.,2022

4. When crowd meets big video data: Cloud-edge collaborative transcoding for personal livecast;Zhu;IEEE Trans. Netw. Sci. Eng.,2018

5. 5G edge network of collaborative computing task-scheduling algorithm with cloud edge;Sui;Mob. Inf. Syst.,2022

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