Development of data anomaly classification for structural health monitoring based on iterative trimmed loss minimization and human-in-the-loop learning
SK Huang, TX Lin - Structural Health Monitoring, 2025 - journals.sagepub.com
Huge amounts of data can be generated during long-term monitoring performed by
structural health monitoring (SHM) and structural integrity management applications …
structural health monitoring (SHM) and structural integrity management applications …
Applications, Challenges, and Future Directions of Human-in-the-Loop Learning
Machine learning (ML) has become a popular technique for various automation tasks in the
era of Industry 4.0, such as the analysis and synthesis of visual data such as images and …
era of Industry 4.0, such as the analysis and synthesis of visual data such as images and …
[PDF][PDF] Uncertainty-Aware Fault Diagnosis for Safety-Related Industrial Systems
J Kafunah - 2024 - researchrepository …
ABSTRACT Industry 4.0 (I4. 0) has enabled dynamic modern-day industrial environments
through rapid automation and improved access to real-time data from complex industrial …
through rapid automation and improved access to real-time data from complex industrial …
Porting and Optimization of Electric Power Consumers Anomaly Behaviour Monitoring on ARM Platform
Y Long, Y Zhong, W Wei, Z Zhan… - 2023 4th International …, 2023 - ieeexplore.ieee.org
With the development of smart grid, finer grid monitoring becomes possible. We propose a
framework for abnormal behavior monitoring of power users, and carry out targeted …
framework for abnormal behavior monitoring of power users, and carry out targeted …