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

Retrieval-augmented generation for personalized physician recommendations in online medical services: model development study
Yingbin Zheng, Yiwei Yan, Sai Chen, Yunping Cai, Kun Ren, Yishan Liu, Jiaying Zhuang, Min Zhao
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DOI: https://doi.org/10.71070/oaml.v5i1.141
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
Unsupervised Autoencoders Combined with Multi-Model Machine Learning Fusion for Improving the Applicability of Aircraft Sensor and Engine Performance Prediction
Tong Zhou , Guojun Zhang, Yiqun Cai
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DOI: https://doi.org/10.71070/oaml.v5i1.83
A Numerical Study on Supply Chain Optimization with Dynamic Bayesian Networks
Elin Andersson, Olof Gustafsson, Astrid Nilsson
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DOI: https://doi.org/10.71070/oaml.v5i1.84
An Adaptive Importance Sampling-based Approach for Risk Assessment of Supply Chain
Haruto Tanaka, Yuki Nakamura, Aiko Suzuki
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DOI: https://doi.org/10.71070/oaml.v5i1.85
Improving Supply Chain Transparency through Blockchain Technology
Wei Liu , Xiaoyu Zhang , Hui Chen
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DOI: https://doi.org/10.71070/oaml.v5i1.89
Logistic Regression-based Approach for Gene Function Prediction
Wei-Ling Chen, Huang Jin-Tai, Lin Mei-Yu
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DOI: https://doi.org/10.71070/oaml.v5i1.90
Novel Genetic Circuits Design through Monte Carlo Simulation
Julien Lefevre, Camille Dubois, Antoine Moreau
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DOI: https://doi.org/10.71070/oaml.v5i1.93
Autonomous Cloud Resource Management through DBSCAN-based unsupervised learning
Qinyi Zhu
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DOI: https://doi.org/10.71070/oaml.v5i1.112
Enhancement of data centric security through predictive ridge regression
Shao Dan, Qinyi Zhu
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DOI: https://doi.org/10.71070/oaml.v5i1.113
Highly efficient cloud computing via Adaptive Hierarchical Federated Learning
Shao Dan, Qinyi Zhu
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DOI: https://doi.org/10.71070/oaml.v5i1.114
Efficient Finite Element Model Calibration through Polynomial Chaos Expansion
Ahmet Yılmaz, Selin Demir, Osman Kaya
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DOI: https://doi.org/10.71070/oaml.v5i1.121
Modelling of Network Supply Chain through Dynamic Bayesian Networks
Alba Fernández, Osman Kaya, Marcos López, Elena Ruiz
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DOI: https://doi.org/10.71070/oaml.v5i1.124
Ridge Regression-based Approach for Estimate of Remaining Life Prediction of Lithium Battery
Olof Andersson, Linnea Gustafsson, Erik Nilsson
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DOI: https://doi.org/10.71070/oaml.v5i1.128
High-Dimensional Data Analysis for Social Media with Principal Component Analysis
Dmitry Ivanov, Erik Nilsson, Elena Petrova, Alexei Smirnov
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DOI: https://doi.org/10.71070/oaml.v5i1.130
Governing Food Nutrition Feature Analysis: A Gaussian Mixture Model-based Approach
Julien Lefevre, Camille Dubois, Erik Nilsson, Antoine Roche
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DOI: https://doi.org/10.71070/oaml.v5i1.134
Efficient Optical Character Recognition through Radial Basis Function
Anouk Jansen, Emily Carter, Liam Wilson, Sophie Thompson
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DOI: https://doi.org/10.71070/oaml.v5i1.140
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