Anomaly Detection of Industrial Images Based on Instance Segmentation with Support Vector Machines Model-Reference-Cited by-同舟云学术

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Anomaly Detection of Industrial Images Based on Instance Segmentation with Support Vector Machines Model

Published:2023-12-04 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
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Author:

C Ramachandra A¹,Hussein Abbas Hameed Abdul²,Adnan Myasar Mundher³,Malathy V⁴,Jabar Muhammed Basim⁵

Affiliation:

1. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

2. College of Pharmacy, Ahl Al Bayt University,Karbala,Iraq

3. The Islamic University,Najaf,Iraq

4. School of Engineering, SR University,Department of ECE,Warangal,Telangana,India

5. National University of Science and Technology,Dhi Qar,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435880.pdf?arnumber=10435880

Reference15 articles.

1. Adaptive anomaly detection system based on machine learning algorithms in an industrial control environment

2. Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach

3. Integrated Generative Model for Industrial Anomaly Detection via Bi-directional LSTM and Attention Mechanism

4. Towards Accurate Anomaly Detection in Industrial Internet-of-Things using Hierarchical Federated Learning

5. GAN-based Data Augmentation Strategy for Sensor Anomaly Detection in Industrial Robots

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