Skip to main content Skip to main navigation menu Skip to site footer
red
  • Home
  • Current
  • Archives
  • Instructions for Authors
  • Publication Ethics & Policies
  • Editorial Team
  • About Us
    • Aims & Scope
    • Open Access Policy
    • Copyright and Licensing
    • Privacy Statement
    • Contact
Search
  • Login
  1. Home /
  2. Archives /
  3. Vol. 6 No. 2 (2026): Advanced Computing & Intelligent Systems

Vol. 6 No. 2 (2026): Advanced Computing & Intelligent Systems

Published: 2026-02-01

Articles

  • Improving Classification Accuracy for Unstructured Medical Documents via Multi-Engine OCR and Deep Learning Collaboration

    Qiaomu Zhang (Author)
    1-14
    • PDF
  • Real-Time Multi-Risk Early Warning for Community Banks: An Application of Ensemble Anomaly Detection and Explainable Artificial Intelligence

    Yifei Li, Zhipeng Ling (Author)
    15-27
    • PDF
  • Adaptive Feature Selection and Ensemble Learning Framework for Multi-Domain Anomaly Detection in Real-Time Transactional Systems

    Zhaoyang Luo (Author)
    28-49
    • PDF
  • Network-Based Identification of Risk Contagion Pathways Between U.S. Credit and Equity Markets During Stress Periods

    Jiahui Han (Author)
    50-63
    • PDF
  • Comparative Evaluation of Ensemble Learning Algorithms for Visitor Engagement Prediction and Content Recommendation Optimization in Virtual Museum Environments

    Jiaying Li, Muyu Liu, Minhao Li (Author)
    64-74
    • PDF

n

Open Access
Free to read and share
DOI: 10.XXXXX
:: Quick Help ::
Contact Us on WhatsApp
:: For Authors ::
Ethical Guidelines
Submission Guidelines
Editorial Policy
Peer Review Policy
Misconduct & Plagiarism
Publication Fee
Submissions
:: Calls ::
Call for Papers
Call for Reviewers
:: About ::
Frequently Asked Questions (FAQ)

 

Journal of Advanced Computing & Intelligent Systems (JACIS)
71-75 Shelton Street, Covent Garden,
London, WC2H 9JQ, United Kingdom
Contact Us: contact@learnedvertex.com | contact.learnedvertex@gmail.com
The publication is licensed under a Creative Commons License (CC BY 4.0). View Legal Code.