Author

Abdul Shakoor

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#machine learning Preprint Sep 2026

Leakage-Safe Machine Learning for Hydrogen Embrittlement Detection in 316L Stainless Steel: A Region-Held-Out Evaluation of Texture and Deep Features in SEM Micrographs

Under a leakage-safe, statistically validated protocol, texture descriptors recover a hydrogen-charging signature from SEM micrographs even with few samples, and the same protocol can be extended to larger HE detection studies in other alloy systems.

Muhammad Awais, Muhammad Yaseen, Abdul Shakoor et al. · 0 citations

Review Open access Aug 2026

Machine Learning-Driven Design of Metal Oxide Gas Sensors: From Mechanisms to Intelligent Sensing: A Review

Recent progress in ML-assisted MO-GSs is summarized, covering sensor array design, feature engineering, and classification algorithms, including support vector machines (SVMs), random forests (RFs), and deep neural networks (DNNs).

Abdul Shakoor, Syed Adil Sardar, Farhan Akhtar et al. · Processes · 0 citations