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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Articles

Leveraging AI in Traffic Engineering to Enhance Bicycle Mobility in Urban Areas

Authors: Chang Che;Junchi Tian.
Abstract: 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 ...

Advances in Deep Reinforcement Learning for Computer Vision Applications

Authors: Zhengyang Li.
Abstract: Deep Reinforcement Learning (DRL) has become very popular for computer vision (CV), solving mostly visually complex environments with decision making and dynamic adaption to different situations. This...

Enhancing User Engagement and Behavior Change in Healthy Eating Apps: A Human-Computer Interaction Perspective

Authors: Yuxin Zhao;Jiawei Wu.
Abstract: 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

Authors: Yuxin Zhao;Zuen Cen.
Abstract: 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...

Automated Machine Learning: A Survey of Tools and Techniques

Authors: Junchi Tian;Chang Che.
Abstract: Automated Machine Learning (AutoML) has revolutionized the field of machine learning by automating complex and time-intensive tasks such as data preprocessing, model selection, and hyperparameter tuni...

Interpretable Machine Learning: Explainability in Algorithm Design

Authors: Xueyi Cheng;Chang Che.
Abstract: In recent years, there is a high demand for transparency and accountability in machine learning models, especially in domains such as healthcare, finance and etc. In this paper, we delve into deep how...

Adaptive Hybrid Optimized LSTM Models: A Novel Computational Framework for Algorithmic Financial Trading System

Authors: Pei-chiang Su.
Abstract: 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...

The Application of Generative AI in Virtual Reality and Augmented Reality

Authors: Shijie Lyu.
Abstract: This study explores the historical development of Virtual Reality (VR) and Augmented Reality (AR) technologies and their applications in various fields, such as education, tourism, and consumer experi...

Anomaly Pattern Detection in High-Frequency Trading Using Graph Neural Networks

Authors: Maoxi Li;Mengying Shu;Tianyu Lu.
Abstract: 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

Authors: Shuaiqi Zheng;Maoxi Li;Wenyu Bi;Yining Zhang.
Abstract: 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

Authors: Yuexing Chen;Maoxi Li;Mengying Shu;Wenyu Bi;Siwei Xia.
Abstract: 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...

FSMM: Food System Monitoring Model for Re-optimization

Authors: Wenjun Wu;Dong Liu;Lai Jiang;Kai Guo.
Abstract: The unstability of global food system have aroused growing attention worldwide. Althrough there is sufficient food produced to feed every person, many people in the world are suffering from hunger. Mo...

Deep Reinforcement Learning-Enhanced Multi-Stage Stochastic Programming for Real-Time Decision-Making in Centralized Seed Packaging Systems

Authors: Yuqun Zhou.
Abstract: 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...
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Journal of Industrial Engineering and Applied Science (JIEAS)
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