Vol. 3 No. 2 (2025)

View Vol. 3 No. 2 (2025)

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: 43

For inquiries regarding the content of specific articles, please feel free to contact the respective authors via their provided email addresses. For questions related to the journal itself, please reach out directly to SUAS Press.

Published: 2025-04-01

Articles

  • Trojan Virus Detection and Classification Based on Graph Convolutional Neural Network Algorithm
    Authors: Wenkun Ren, Xingpeng Xiao, Jian Xu, Heyao Chen, Yaomin Zhang, Junyi Zhang
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Cybersecurity
    Publication ID: v3n2a01
    Abstract: This article proposes a new method for Trojan virus detection and classification based on graph convolutional neural network (GCN) algorithm. By observing the performance evaluation indicators of the model during the training process, the accuracy...
    1-5
    DOI Icon Abstract views: 35 | DOI Icon PDF downloads: 16 | DOI Icon references: 16
    DOI Icon DOI: 10.70393/6a69656173.323735
    DOI Icon ARK: ark:/40704/JIEAS.v3n2a01
  • Assessment Methods and Protection Strategies for Data Leakage Risks in Large Language Models
    Authors: Xingpeng Xiao, Yaomin Zhang, Jian Xu, Wenkun Ren, Junyi Zhang
    Resource Type: Article
    Disciplines: Artificial Intelligence Technology | Subjects: Natural Language Processing
    Publication ID: v3n2a02
    Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, yet their inherent vulnerabilities to data leakage pose significant security and privacy risks. This paper presents a comprehensive...
    6-15
    DOI Icon Abstract views: 55 | DOI Icon PDF downloads: 13 | DOI Icon references: 26
    DOI Icon DOI: 10.70393/6a69656173.323736
    DOI Icon ARK: ark:/40704/JIEAS.v3n2a02
  • Optimization of Personalized Learning Paths in Educational AI Driven by Student Behavior Data
    Authors: Zhonglin Zhao
    Resource Type: Article
    Disciplines: Artificial Intelligence Technology | Subjects: Machine Learning
    Publication ID: v3n2a03
    Abstract: With the advancement of artificial intelligence (AI) and data-driven methodologies, personalized learning has emerged as a transformative approach to education, enabling tailored instruction based on individual student needs. Distance learning has...
    16-25
    DOI Icon Abstract views: 63 | DOI Icon PDF downloads: 14 | DOI Icon references: 24
    DOI Icon DOI: 10.70393/6a69656173.323738
    DOI Icon ARK: ark:/40704/JIEAS.v3n2a03
  • Combining Blockchain and AI to Optimize the Intelligent Risk Control Mechanism in Decentralized Finance
    Authors: Tianzuo Zhang
    Resource Type: Article
    Disciplines: Artificial Intelligence Technology | Subjects: Cybersecurity
    Publication ID: v3n2a04
    Abstract: This study explores the optimized application of combining blockchain (Blockchain) and artificial intelligence (AI) in the intelligent risk control of decentralized finance (DeFi). Although the decentralization and transparency of DeFi have driven...
    26-32
    DOI Icon Abstract views: 64 | DOI Icon PDF downloads: 19 | DOI Icon references: 11
    DOI Icon DOI: 10.70393/6a69656173.323739
    DOI Icon ARK: ark:/40704/JIEAS.v3n2a04
  • A Low-Complexity Joint Angle Estimation Algorithm for Weather Radar Echo Signals Based on Modified ESPRIT
    Authors: Chen Chen, Zhengyi Zhang, Haisheng Lian
    Resource Type: Article
    Disciplines: Applied Physics | Subjects: Signal Processing
    Publication ID: v3n2a05
    Abstract: A low-complexity joint angle estimation algorithm based on a modified ESPRIT technique is proposed for weather radar echo signals. The algorithm employs a novel dimension reduction approach combined with optimized subspace estimation to reduce...
    33-43
    DOI Icon Abstract views: 26 | DOI Icon PDF downloads: 13 | DOI Icon references: 31
    DOI Icon DOI: 10.70393/6a69656173.323832
    DOI Icon ARK: ark:/40704/JIEAS.v3n2a05