Research on the Automated Decision-Making Effectiveness in Industrial Automation System-Reference-Cited by-同舟云学术

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Research on the Automated Decision-Making Effectiveness in Industrial Automation System

Published:2023-11-21 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)
language:
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Author:

Klymash Mykhailo¹,Hordiichuk-Bublivska Olena¹,Kyryk Marian¹,Nodzhak Luybov²,Fabri Liudvih³

Affiliation:

1. Lviv Polytechnic National University,Department of Telecommunication,Lviv,Ukraine

2. Lviv Polytechnic National University,Department of Foreign Trade and Customs,Lviv,Ukraine

3. Lviv Polytechnic National University,Department of Automated Control Systems,Lviu,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452416/10452417/10452678.pdf?arnumber=10452678

Reference18 articles.

1. Data Optimization for Industrial IoT-Based Recommendation Systems

2. A Modified Federated Singular Value Decomposition Method for Big Data and ML Optimization in IIoT Systems

3. Industry 4.0–Technological Revolution and Sustainable Firm Performance

4. Development of the iBeacon’s Positioning Algorithm for Indoor Scenarios

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

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