JIEAS OPEN ACCESS
Journal of Industrial Engineering and Applied Science
ISSN:3005-608X (print) | ISSN:3005-6071 (online) | Publication Frequency: Bimonthly
Current Issue
All articles published in this issue have undergone a thorough peer review process, and stringent checks for repetition rates have been implemented to ensure the integrity of the content.
Total number of articles in this issue: 13
Total number of pages in this issue: 126
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Year
2024
Volume
2
Number
6
Status
Archived
Published
2024 December 1
Articles
Leveraging AI in Traffic Engineering to Enhance Bicycle Mobility in Urban Areas
Chang Che;Junchi Tian.More With the rise of AI-driven technologies, urban cycling is becoming more accessible and appealing to many due to benefits such as health improvement and cost efficiency. Governments worldwide are ...
Enhancing User Engagement and Behavior Change in Healthy Eating Apps: A Human-Computer Interaction Perspective
Yuxin Zhao;Jiawei Wu.Healthy eating apps have gained popularity as tools for promoting dietary improvements and supporting behavior change. Despite their potential, maintaining user engagement and achieving sustained beha...
Exploring Multimodal Feedback Mechanisms for Improving User Interaction in Virtual Reality Environments
Yuxin Zhao;Zuen Cen.As Virtual Reality (VR) technology progresses, the need for intuitive and immersive interaction mechanisms becomes increasingly important. However, current VR systems primarily rely on visual and audi...
Adaptive Hybrid Optimized LSTM Models: A Novel Computational Framework for Algorithmic Financial Trading System
Pei-chiang Su.In our modern society, with the development of Internet and information system, pre-programing algorithmic trading strategies for online automatic trading has also flourished, especially in the rapidl...
Anomaly Pattern Detection in High-Frequency Trading Using Graph Neural Networks
Maoxi Li;Mengying Shu;Tianyu Lu.This paper presents a new method for detecting abnormal patterns in high-frequency trading (HFT) using graph neural networks (GNNs). The increasing sophistication of trading algorithms and the large v...
Real-time Detection of Abnormal Financial Transactions Using Generative Adversarial Networks: An Enterprise Application
Shuaiqi Zheng;Maoxi Li;Wenyu Bi;Yining Zhang.This paper presents a novel real-time financial fraud detection framework utilizing Generative Adversarial Networks (GANs) for enterprise applications. The proposed system addresses critical challenge...
Multi-modal Market Manipulation Detection in High-Frequency Trading Using Graph Neural Networks
Yuexing Chen;Maoxi Li;Mengying Shu;Wenyu Bi;Siwei Xia.This paper proposes a novel multi-modal graph neural network framework for detecting market manipulation in high-frequency trading environments. The framework integrates diverse data sources through s...
Deep Reinforcement Learning-Enhanced Multi-Stage Stochastic Programming for Real-Time Decision-Making in Centralized Seed Packaging Systems
Yuqun Zhou.The centralized seed packaging system faces significant challenges in dynamic decision-making due to stochastic demand fluctuations and operational constraints. This paper presents a novel hybrid appr...
Copyright © 2025 The Author(s). Published by Southern United Academy of Sciences.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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