An Artificial Industrial Intelligence Based Model for Efficient Scheduling to Perform Manufacturing and Execution of Commercial Machines Using Industry 4.0-Reference-Cited by-同舟云学术

An Artificial Industrial Intelligence Based Model for Efficient Scheduling to Perform Manufacturing and Execution of Commercial Machines Using Industry 4.0

Published:2023-11-01 Issue: Volume:20 Page:1-5
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
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Author:

Yadava Anil Kumar¹,P Sreelatha²,G N Naveen Kumar³,Pattnaik Manjula⁴,Ganesan Manikandan⁵,Sengottaiyan K.⁶

Affiliation:

1. UPPWD,Public Works Department,Lucknow,Uttar Pradesh,India

2. KPR Institute of Engineering and Technology,Department of Biomedical Engineering,Arasur,Tamil Nadu,India

3. CMR Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,Karnataka,India

4. Princess Nourah Bint Abdulrahman University,Department of Accounting,Riyadh,Kingdom of Saudi Arabia

5. Hawassa University,Department of Electromechanical Engineering Institute of Technology,Hawassa,Ethiopia

6. R.M.K ENGINEERING COLLEGE,Department of Mechanical Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10368880.pdf?arnumber=10368880

Reference19 articles.

1. Value creation for IoT: challenges and opportunities within the design and development process

2. A perceived moral agency scale: Development and validation of a metric for humans and social machines

3. A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management

4. Design of deep learning model for radio resource allocation in 5G for massive iot device

5. The Speech-Language Processing Model for Managing the Neuro-Muscle Disorder Patients by Using Deep Learning;Yuvaraj;NeuroQuantology,2022