Industry 4.0 based Machine Learning Models for Anomalous Product Detection and Classification

Author:

Kumar Sourabh1,Chandra Saroj Kumar1,Shukla Ram Narayan1,Panigrahi Lipismita2

Affiliation:

1. Computer Science and Engineering OP Jindal University,Center of Excellence in Industry 4.0,Raigarh,India

2. Kalinga Institute of Industrial Technology,Department of Computer Applications,Bhubaneswar,India

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-UAV Employed Secure Product Management and Surveillance System in Industry 4.0 using Blockchain;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04

2. Brainwaves in the Cloud: Cognitive Workload Monitoring Using Deep Gated Neural Network and Industrial Internet of Things;Applied Sciences;2024-07-03

3. EVOLVING INDUSTRY 4.0: A METHODICAL APPROACH TO OPTIMIZING IOT ONTOLOGIES FOR ENHANCED AUTOMATION;2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2024-06-24

4. Research on the Automated Decision-Making Effectiveness in Industrial Automation System;2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT);2023-11-21

5. ERPLab: Remote Laboratory for Teaching Robotics and Programming;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

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