Research on Quality Control of Core Process of Hydraulic Engineering Materials Based on Improved Particle Swarm Optimization-Reference-Cited by-同舟云学术

Research on Quality Control of Core Process of Hydraulic Engineering Materials Based on Improved Particle Swarm Optimization

Published:2023-08-18 Issue: Volume:48 Page:383-388
ISSN:
Container-title:2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
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Author:

K Aanandha Saravanan¹,Udhayakumar M²,Abdullah Hamad Abdulsattar³,Jeyasimman D.⁴,Reddy Gosu Nageswara⁵,C Anbu⁶

Affiliation:

1. Dr. Sagunthala R&D Institute of Science and Technology,Department of Ece Veltech Rangarajan

2. K S R Institute of Engineering and Technology Tiruchengode,Department of ECE,Tamilnadu,India

3. University of Samarra,College of Education,Department of Physics,Samarra City Slah al Deen,Iraq

4. Periyar Maniammai Institute of Science & Technology,Department of Mechanical Engineering,Thanjavur,Tamilnadu,India

5. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department: Department of Chemistry,Avadi,Chennai

6. Kongu Engineering College,Department of Mechatronics Engineering,Erode,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391093/10391094/10391625.pdf?arnumber=10391625

Reference21 articles.

1. Energy-saving optimization of pumping station based on knapsack model combined with particle swarm optimization;Qinghua;Computer and Digital Engineering,2020

2. Optimal scheduling analysis of drainage pumping station based on improved particle swarm algorithm;Yuanwei;China Rural Water Resources and Hydropower,2020

3. Design and Control of Modified Resonant Voltage Multiplier Rectifier for Photovoltaic Applications Using Electrolytic Capacitive Material

4. Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine

5. Intelligent Breast Abnormality Framework for Detection and Evaluation of Breast Abnormal Parameters