Cited by A classification system based on improved global exploration and convergence to examine student psychological fitness

A classification system based on improved global exploration and convergence to examine student psychological fitness DOI

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

Anxiety is an important issue that affects their academic performance, mental health, and overall educational journey. To address this issue, it to accurately assess anxiety levels provide evidence-based techniques. However, due the complexity of individual differences, analyzing clustering algorithms efficiently classify psychological challenging. Traditional techniques face certain challenges in classifying levels, such as slow convergence, sensitivity initial conditions, difficulties handling constraints. these issues, with improved Mayfly-based optimization algorithm (IMOA) proposed based on dynamic variable for better performance levels. Initially, IMOA validated using 23 standard benchmark functions, confirming its ability find optimal solutions. Then, applied student dataset, them into Cluster A B. The average scores both clusters across all test cases are 76.7% 53.07%, respectively. These results demonstrate formation dissimilar groups homogeneous emotions highlighting importance addressing emotional stress. Finally, by assigning students clusters, educators health professionals can support those who may struggle, ensuring they receive attention resources need. obtained show a effectively classifies anxiety, improving learning environment helping teachers understand students' needs. This identification allows more effective adapt teaching meet specific needs seeking support.

Language: Английский

Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application DOI

Murat Demir

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1359 - 1359

Published: Jan. 28, 2025

Metaheuristic methods are optimization that look for different ways to converge a solution problem where it is difficult find analytically. Their difference from known they imitate living things or systems in nature. Each metaheuristic method has its equations, and the found using these equations. In this study, new, called afterimage algorithm proposed. The proposed was developed inspired by fact when we close our eyes after looking at luminous image while, vision still occurs minds. This an afterimage. first pre-processes with operator calculates best worst values. visual angle value then calculated, new solutions produced around value. Three datasets were used experimental studies on data clustering. Accuracies of 96.66% iris plant dataset, 92% Wisconsin breast cancer 95% occupancy detection dataset obtained.

Language: Английский

Citations

The Exploration of the Comprehensive and Advanced Training Transformation Model for New Engineering Graduate Students DOI