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International Congress and Workshop on Industrial AI and EMaintenance 2025
International Congress and Workshop on Industrial AI and EMaintenance 2025
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ISBN No.: 9783032037244
Pages: 878
Year: 202604
Format: Trade Cloth (Hard Cover)
Price: $ 419.99
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

A Performability Optimization Framework for Driverless and Unattended Mainline Systems.- Deep Reinforcement Learning for Maintenance Planning in Weibull Distributed Fleet Systems.- Synthetic MQTT Traffic Generation for Real-Time IoT Security Threat Analysis with Artificial Intelligence.- Balancing Cost, Risk, and Performance in Railway Asset Management: An Enhanced ORIE Approach.- Effective Gravel Road Maintenance: Insights from Condition Assessment by Integrating Data Sources.- Fundamentals of RCM and their application in railway infrastructure asset management.- On the development and use of hybrid models in aircraft component and sub-system health monitoring.- Development of fault diagnostic support - Application for railway sleepers.


- Design and Prognosis of CanSat Maneuver Systems using Machine Learning.- Review of Neuroergonomics approaches for evaluating mental workload.- Making correct maintenance decisions - A content analysis of Reliability-Centered Maintenance (RCM).- Life Cycle Management of Railway Infrastructure - A Case Study at the Swedish Iron Ore Line.- A Generative AI Framework for Smart Maintenance: Utilizing RAG Systems and LLMs to Assist Manufacturing Operations.- Data-driven decision support tool for maintenance of capital-intensive mining equipment.- Enhancing Railway Infrastructure Resilience: Towards A Hybrid Multi-physics and Data-Driven Approach for Condition Monitoring.- European Union Data act enabling IoT data sharing for creation of new services and software products.


- EEG Signal Analysis in Golf Putting: Correlating Brain Activity with Putting Success.- Support for daily decisions of safety on scaffolding at construction sites through applied AI.- Using Data from Multiple Wayside Train Monitoring Systems to Detect and Estimate the Size of Wheel Flats on Railway Vehicles.


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