Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction

In today's technology-driven era, innovative methods for predicting behaviors and patterns are crucial. Virtual Learning Environments (VLEs) represent a rich domain for exploration due to their abundant data and potential for enhancing learning experiences. Long Short-Term Memory (LSTM) models,...

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Bibliographic Details

Main Authors:	Ismanto, Edi, Ab Ghani, Hadhrami, Md Saleh, Nurul Izrin
Format:	Article
Language:	en
Published:	Polska Akademia Nauk 2025
Online Access:	http://eprints.utem.edu.my/id/eprint/29520/2/0269501012026155162874.pdf http://eprints.utem.edu.my/id/eprint/29520/ https://ijet.pl/index.php/ijet/article/view/10.24425-ijet.2025.155475
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