Enhancing Student Performance Prediction with Greylag Goose Optimization Algorithm-Reference-Cited by-同舟云学术

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Enhancing Student Performance Prediction with Greylag Goose Optimization Algorithm

Published:2024-07-22 Issue: Volume:6 Page:32-37
ISSN:
Container-title:2024 International Telecommunications Conference (ITC-Egypt)
language:
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Author:

Rizk Faris H.¹,Mohamed Mahmoud Elshabrawy¹,Sameh Basant²,Zaki Ahmed Mohamed¹,Eid Marwa M.³,El-kenawy El-Sayed M.²

Affiliation:

1. Computer Science and Intelligent Systems Research Center,Blacksburg,Virginia,USA,24060

2. Delta Higher Institute of Engineering and Technology,Department of Communications and Electronics,Mansoura,Egypt,35111

3. Delta University for Science and Technology,Faculty of Artificial Intelligence,Mansoura,Egypt,35111

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620403/10620452/10620568.pdf?arnumber=10620568

Reference26 articles.

1. Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning

2. Greylag Goose Optimization: Nature-inspired optimization algorithm

3. Optimized Ensemble Algorithm for Predicting Metamaterial Antenna Parameters

4. Waterwheel Plant Algorithm: A Novel Metaheuristic Optimization Method

5. Exploring Predictive Models for Students' Performance in Exams: A Comparative Analysis of Regression Algorithms

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