Author

H. Kim

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Open access 2026

Adaptive Driver State Monitoring with Temporal Reasoning and Risk Estimation for Safe Transportation

Quantitative and qualitative analyses, including state-of-the-art comparison, cross-validation, statistical analysis, and computational complexity evaluation, highlight the system’s accuracy, modularity, and suitability for real-world deployment.

Hikmat Yar, I. Khan, Naqqash Dilshad et al. · Computer Modeling in Enginee... · 0 citations

Review Open access Jul 2026

Unsupervised Learning for Industrial Robot Health Monitoring: Trends, Techniques, and Challenges

A thorough analysis of unsupervised learning techniques used in the health monitoring of industrial robots explores significant trends and key algorithms, such as clustering, autoencoders, and generative models, assessing their effectiveness in identifying faults and performance degradation.

Muhammad Umar Elahi, Rana Talal Ahmad Khan, Muhammad Haris Yazdani et al. · Mathematics · 0 citations