Hyperparameters play a critical role in analyzing predictive performance in machine
learning models. They serve to strike a balance between overfitting and underfitting of …

Given the increasing concern about the destructive impact of sympathetic activities on the
Earth, involving the next generation in environmental conservation is crucial. Therefore, this …

The present study is an in-depth examination of machine learning strategies for landslide
prediction that use three primary methods: Recurrent Neural Network (RNN), Gated …

The need for online education has increased significantly. People now prefer to work to fulfill
the necessities of life and pursue education to advance their skills because of the rising …

This chapter investigates the current environment to comprehend how Artificial Intelligence
(AI) is used in educational assessment. Through a narrative review of existing research, it …

Predicting student dropout is crucial for early intervention and support, addressing a
significant loss of potential human capital in the education system. This paper presents a …

In today's organizations, remote collaboration is essential, and advancements in technology
have made AI agents crucial for supporting collaboration. This study explores the effects of …

In the realm of higher education, predicting student performance is crucial for enhancing
educational outcomes and institutional efficiency. This project aims to develop a predictive …

Temos aktualumas. Edukacija yra vienas esminiy siuolaikines visuomenes pamaty ir
laikoma visuomenes progreso pagrindu (Sabaityte, Bekeza, 2020, cituojant Chaw, Tang …

Annotation: By this time, humanity has achieved and continues to achieve great scientific
and practical achievements. One of them is artificial intelligence (AI), which is widely used in …