IoT-Edge Computing for Efficient and Effective Information Process on Industrial Automation-Reference-Cited by-同舟云学术

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IoT-Edge Computing for Efficient and Effective Information Process on Industrial Automation

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Networking and Communications (ICNWC)
language:
Short-container-title:

Author:

Kumar M. Rudra¹,Devi B. Rupa²,Rangaswamy K.³,Sangeetha M.⁴,Kumar Korupalli V Rajesh⁵

Affiliation:

1. GPCET,Department of Computer Science Engineerin,Kurnool,A.P,India

2. Annamacharya Institute of Technology and Sciences,Department of Computer Science Engineering,Tirupati,A.P,India

3. Rajeev Gandhi Memorial college of Engineering and Technology,Department of CSE (DS),Nandyal,A.P,India

4. Fatima Michael College of engineering and technology,Department of CSE,Madurai,TN,India

5. Woxsen University,AI Research Centre, School of Business,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127222/10127226/10127492.pdf?arnumber=10127492

Reference15 articles.

1. Segmentation and measurement scheme for fish morphological features based on Mask R-CNN

2. On Paradigm of Industrial Big Data Analytics: From Evolution to Revolution

3. Fish Species Recognition Using VGG16 Deep Convolutional Neural Network

4. A Comparison of YOLO and Mask R-CNN for Segmenting Head and Tail of Fish

5. Intelligent biosensing strategies for rapid detection in food safety: A review

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1. Machine Learning and Deep Learning Algorithms for Green Computing;Advances in Computational Intelligence and Robotics;2024-02-27

2. Off-The-Shelf IoT Gateways as a Viable Alternative to Traditional HMI Devices;Day 2 Tue, February 13, 2024;2024-02-12

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