Vol 4, No 1 (2024): Issue 4

Issue Description

Volume 4 of OAML presents advancements in machine learning optimization across diverse fields. Key studies explore adaptive algorithms in motor design, applying graph neural networks for enhanced performance. Another work addresses optimization in mobile robotic delivery systems, focusing on deep-learning approaches to improve routing and efficiency. In online advertising, researchers investigate models to refine predictive accuracy for targeted services. Financial markets also see innovation, with a stock recommendation model leveraging time-frequency analysis. Lastly, cybersecurity is strengthened through a novel end-to-end learning model for intrusion detection, enhancing data protection.

Table of Contents

Articles

RAG for Personalized Medicine: A Framework for Integrating Patient Data and Pharmaceutical Knowledge for Treatment Recommendations
Zhaoyan Zhang
DOI: https://doi.org/10.71070/oaml.v4i1.29
Enhancing Predictive Accuracy in Online Advertising Services: A Data-Driven Approach Using iTransformer and Periodicity Decoupling
Diwei Zhu, Yunxiang Gan, Xiaoyang Chen
DOI: https://doi.org/10.71070/oaml.v1i1.6
An Adaptive Weight-Based Performance Optimization Algorithm for Motor Design Using GNN Representation
Shuguang Xiong, Huitao Zhang, Meng Wang, Ning Zhou
DOI: https://doi.org/10.71070/oaml.v1i1.11
Deep Learning-Based Optimization for Mobile Robotic Delivery Systems
Diwei Zhu; Yunxiang Gan; Xiaoyang Chen
DOI: https://doi.org/10.71070/oaml.v1i1.2
An End-to-End Stock Recommendation Algorithm Study Based on Time-Frequency Consistency
Shuguang Xiong, Huitao Zhang, Meng Wang, Ning Zhou
DOI: https://doi.org/10.71070/oaml.v1i1.7
A Study on the Mamba-ECANet Model for Intrusion Detection in Data Security Using End-to-End Learning
Meng Wang, Huitao Zhang, Ning Zhou
DOI: https://doi.org/10.71070/oaml.v1i1.8
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