AJSM OPEN ACCESS
Academic Journal of Sociology and Management
ISSN:3005-5040 (print) | ISSN:3005-5059 (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: 5
Total number of pages in this issue: 51
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Year
2025
Volume
3
Number
2
Status
Archived
Published
2025 March 18
Articles
Real-time Cross-border Payment Fraud Detection Using Temporal Graph Neural Networks: A Deep Learning Approach
Chengru Ju;Xiaowen Ma;Boyang Dong.The rapid expansion of digital payments across borders has led to increased risks in the financial system, especially in the fraud process. Traditional methods show limitations in capturing the spatia...
Deep Learning-Based Analysis of Social Media Sentiment Impact on Cryptocurrency Market Microstructure
Yining Zhang;Jiayan Fan;Boyang Dong.This paper presents an advanced framework for analyzing cryptocurrency market microstructure through the integration of deep learning techniques and social media sentiment analysis. The proposed appro...
Semantic Network Analysis of Financial Regulatory Documents: Extracting Early Risk Warning Signals
Yibang Liu;Wenyu Bi;Jiayan Fan.This paper presents a semantic network analysis framework for extracting early risk warning signals from financial regulatory documents. Financial regulations contain critical information about emergi...
A Differential Privacy-Based Mechanism for Preventing Data Leakage in Large Language Model Training
Xingpeng Xiao;Yaomin Zhang;Heyao Chen;Wenkun Ren;Junyi Zhang;Jian Xu.Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, yet they face significant challenges in protecting sensitive information during training. T...
Anomalous Payment Behavior Detection and Risk Prediction for SMEs Based on LSTM-Attention Mechanism
Xingpeng Xiao;Heyao Chen;Yaomin Zhang;Wenkun Ren;Jian Xu;Junyi Zhang.This paper proposes a novel approach for detecting anomalous payment behaviors and predicting financial risks in Small and Medium-sized Enterprises (SMEs) using an enhanced LSTM-Attention mechanism. T...
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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