Branchy Deep Learning Based Real-Time Defect Detection Under Edge-Cloud Fusion Architecture
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Branchy Deep Learning Based Real-Time Defect Detection Under Edge-Cloud Fusion Architecture
Authors
Keywords
-
Journal
IEEE Transactions on Cloud Computing
Volume 11, Issue 3, Pages 3301-3313
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2023-06-14
DOI
10.1109/tcc.2023.3285654
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Image-based Surface Defect Detection Using Deep Learning: A Review
- (2021) Prahar Bhatt et al. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
- A smart surface inspection system using faster R-CNN in cloud-edge computing environment
- (2020) Yuanbin Wang et al. ADVANCED ENGINEERING INFORMATICS
- A review on the computation offloading approaches in mobile edge computing: A g ame‐theoretic perspective
- (2020) Ali Shakarami et al. SOFTWARE-PRACTICE & EXPERIENCE
- Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges
- (2020) Jing Yang et al. Materials
- Virtual network function placement and resource optimization in NFV and edge computing enabled networks
- (2019) Defang Li et al. Computer Networks
- Surface Defects Recognition of Wheel Hub Based on Improved Faster R-CNN
- (2019) Xiaohong Sun et al. Electronics
- Industrial Edge Computing: Enabling Embedded Intelligence
- (2019) Wenbin Dai et al. IEEE Industrial Electronics Magazine
- A CNN-Based Visual Sorting System With Cloud-Edge Computing for Flexible Manufacturing Systems
- (2019) Yuanbin Wang et al. IEEE Transactions on Industrial Informatics
- Smart Collaborative Tracking for Ubiquitous Power IoT in Edge-Cloud Interplay Domain
- (2019) Fei Song et al. IEEE Internet of Things Journal
- Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities
- (2018) Mohammad Aazam et al. Future Generation Computer Systems-The International Journal of eScience
- Deep Learning for Smart Industry: Efficient Manufacture Inspection System with Fog Computing
- (2018) Liangzhi Li et al. IEEE Transactions on Industrial Informatics
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Multiobjective Optimization for Computation Offloading in Fog Computing
- (2018) Liqing Liu et al. IEEE Internet of Things Journal
- Availability-Aware Service Placement Policy in Fog Computing Based on Graph Partitions
- (2018) Isaac Lera et al. IEEE Internet of Things Journal
- A Cloud-Edge Computing Framework for Cyber-Physical-Social Services
- (2017) Xiaokang Wang et al. IEEE COMMUNICATIONS MAGAZINE
- A Manufacturing Big Data Solution for Active Preventive Maintenance
- (2017) Jiafu Wan et al. IEEE Transactions on Industrial Informatics
- Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection
- (2016) Daniel Weimer et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Edge Computing: Vision and Challenges
- (2016) Weisong Shi et al. IEEE Internet of Things Journal
- A Contrast Adjustment Thresholding Method for Surface Defect Detection Based on Mesoscopy
- (2015) Moe Win et al. IEEE Transactions on Industrial Informatics
- Railway Fastener Inspection by Real-Time Machine Vision
- (2015) Caglar Aytekin et al. IEEE Transactions on Systems Man Cybernetics-Systems
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now