Skip to Content

Engineering Proceedings, Volume 139, 2026

SSIMF 2025 - 7 articles

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (7)

  • Proceeding Paper
  • Open Access
129 Views
10 Pages

16 October 2026

By introducing a data-driven human–machine collaboration performance evaluation Model (HMCPEM) that utilizes multiple regression and Monte Carlo simulation, the effectiveness and dependability of collaborative decision-making in smart agricultu...

  • Proceeding Paper
  • Open Access
537 Views
7 Pages

In this study, we developed an intelligent anti-fraud chatbot that integrates a large language model with retrieval-augmented generation to detect suspicious messages and provide context-aware suggestions. Using natural language processing and semant...

  • Proceeding Paper
  • Open Access
1 Citations
431 Views
12 Pages

Class imbalance in datasets is a common issue across various fields, including banking, medicine, and information security. Data augmentation is a frequently used approach to address this problem by generating additional samples of the minority class...

  • Proceeding Paper
  • Open Access
263 Views
8 Pages

In this study, the transition of intersection coordination models was explored using a Dynamic Game framework. The performance limitations of traditional static models, which define payoffs based on fixed geometric conflicts, were also investigated t...

  • Proceeding Paper
  • Open Access
1 Citations
660 Views
6 Pages

Smart Contract-Based Security Alert Platform for Industrial Control Systems

  • I-Hsien Liu,
  • Ke-Zhen Xu,
  • Ying-Cheng Wu and
  • Jung-Shian Li

As digitalization is widely used, Industrial Control Systems (ICSs) face severe cybersecurity challenges, where traditional defenses often lack real-time detection and immutable audit trails. Therefore, we propose a security alert platform that integ...

  • Proceeding Paper
  • Open Access
417 Views
6 Pages

Probabilistic Framework Using Bayesian Networks for Fault Detection and Prediction in Electrical Distribution Systems

  • Dayron Rumbaut-Rangel,
  • Franklin Parrales-Bravo,
  • Roberto Tolozano-Benites and
  • Lorenzo Cevallos-Torres

AI, specifically Bayesian networks, was applied in this study to diagnose and predict interruptions (whether due to faults or maintenance) that most significantly impact the time of interruption per kilowatt and frequency of maintenance intervention...

XFacebookLinkedIn
Eng. Proc. - ISSN 2673-4591