Browsing by Author "Alabsi, Mohammed"
Now showing items 1-5 of 5
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Future of machine diagnostics in smart manufacturing environments: a study of deep neural networks transfer learning for fault diagnosis applications
(2021)Intelligent fault diagnostics involves instrumenting machinery with sensors, and interpreting data to predict faults. We applied deep learning algorithms, called Deep Convolutional Neural Networks (DCNNs), to analyze raw ... -
The future of machine diagnostics in smart manufacturing environments: design of an intelligent fault simulator apparatus
(2021)Intelligent fault diagnosis requires an understanding of the dynamic behavior of mechanical components, especially within rotating machinery, as well as the ability to accurately generate controlled data. This study ... -
A study of deep neural networks transfer learning for fault diagnosis applications
(Prognostics and Health Management Society, 2021-11-24)Intelligent fault diagnosis utilizing deep learning algorithms has been widely investigated recently. Although previous results demonstrated excellent performance, features learned by Deep Convolutional Neural Networks ... -
Towards autonomous drones guidance using computer vision
(2022)Ever since their inception, drones have been integrated into many different industries due to their maneuverability, ease of use and precision. From the military to even agriculture drones have been growing in their use ... -
Visualization and edge computing for deep learning
(2022)Our research looked into two aspects of deep learning. The first was visualization, for improving the understanding of how networks are able to make sense of complex input data. The second was deployment of Deep Learning ...
