Vol 5, No 1 (2025): Issue 5

Issue Description

Volume 5, Issue 5 (2025) of Optimization in Applied Machine Learning highlights the latest advancements and practical applications of machine learning in solving real-world challenges. This issue features cutting-edge research on optimization algorithms, robust machine learning models, and their implementations across diverse fields such as healthcare, finance, transportation, and energy. With a focus on innovation and practical impact, the articles in this edition provide valuable insights for researchers, practitioners, and industry professionals seeking to enhance the efficiency and effectiveness of machine learning systems.

Table of Contents

Articles

Adaptive Volatility Analysis: An Integrated ATR Model for Dynamic Market Conditions
Zuofei Fu, Yiyun Zheng, Jindi Lin
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DOI: https://doi.org/10.71070/oaml.v5i1.25
A Density-Based Spatial Clustering of Applications with Noise for Data Security Intrusion Detection
Carlos Méndez, Laura García, Javier Torres
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DOI: https://doi.org/10.71070/oaml.v5i1.44
Efficient Customer Churn Prediction through Bayesian Support Vector Regression
Jinwoo Park, Nari Kim, Seojin Lee
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DOI: https://doi.org/10.71070/oaml.v5i1.45
Deep Reinforcement Learning Stock Trading Strategy Optimization Framework Based on TimesNet and Self-Attention Mechanism
Huitao Zhang, Kaixian Xu, Yunxiang Gan, Shuguang Xiong
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DOI: https://doi.org/10.71070/oaml.v5i1.70
Research on Automotive Bearing Fault Diagnosis Based on the Improved SSA-VMD Algorithm
Weidong Huang, Yiqun Cai
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DOI: https://doi.org/10.71070/oaml.v5i1.72
MDD-based Domain Adaptation Algorithm for Improving the Applicability of the Artificial Neural Network in Vehicle Insurance Claim Fraud Detection
Alan Wilson, Jiahuai Ma
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DOI: https://doi.org/10.71070/oaml.v5i1.76
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