Výsledky vyhledávání

Report

Unsupervised Fault Detection using SAM with a Moving Window Approach

Autor: Maged, Ahmed, Shen, Herman

Automated f ault detection and monitoring in engineering are critical but frequently difficult owing to the necessity for collecting and labeling large amounts of defective samples . We present an unsupervised method that uses the high end Segment An

Externí odkaz: http://arxiv.org/abs/2407.06303

Zobrazit plný text záznamu

Report

Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review

Autor: Maged, Ahmed, Haridy, Salah, Shen, Herman

As the manufacturing industry advances with sensor integration and automation, the opaque nature of deep learning models in machine learning poses a significant challenge for fault detection and diagnosis. And despite the related predictive insights

Externí odkaz: http://arxiv.org/abs/2404.11597

Zobrazit plný text záznamu

Akademický článek

Prevalence of Cutaneous Leishmaniasis in Western Highlands in Yemen

Autor: Mohammed Musid Alkulaibi, Ahmed Mohamed Suleiman, Eltahir Awad Gasim Khalil, Maged Ahmed Al-Garadi

Publikováno v: Journal of Tropical Medicine, Vol 2019 (2019)

Leishmaniasis in Yemen is still not fully investigated nor well studied. Recently, outbreaks of cutaneous leishmaniasis (CL) in western highland were declared. However, there are no reports concerning the disease and the circulating species in the re

Externí odkaz: https://doaj.org/article/e683bf04aad04339822215c301d747bb

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

A distribution-free change-point monitoring scheme in high-dimensional settings with application to industrial image surveillance

Autor: Chakraborty, Niladri, Lui, Chun Fai, Maged, Ahmed

Existing monitoring tools for multivariate data are often asymptotically distribution-free, computationally intensive, or require a large stretch of stable data. Many of these methods are not applicable to 'high dimension, low sample size' scenarios.

Externí odkaz: http://arxiv.org/abs/2305.06420

Zobrazit plný text záznamu