Essays about: "Model based diagnosis"
Showing result 11 - 15 of 137 essays containing the words Model based diagnosis.
-
11. The potential of mixed reality application in robot condition monitoring : A literature review
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : In the context of Industry 4.0, the prominence of robotics has grown significantly, leading to a pressing need for advanced monitoring techniques. This thesis explores the potential role of Mixed Reality (MR) in robot condition monitoring through an exhaustive literature review of 138 selected studies. READ MORE
-
12. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. READ MORE
-
13. Impact of Cell Type Selection on Binary Classification of Cervical Cancer using Convolutional Neural Networks : A Compatibility Analysis of Herlev and SIPaKMeD
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cervical cancer is one of the most common forms of cancer today, affecting women worldwide. Machine learning classifiers could potentially be utilized to aid in the diagnosis of cervical cancer, making screening more cost-effective. READ MORE
-
14. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE
-
15. Deep Learning Based Detection, Quantification, and Subdivision of White Matter Hyperintensities in Brain MRI
University essay from Uppsala universitet/Avdelningen Vi3Abstract : White matter hyperintensities (WMH) are commonly found as bright regions in brain MRI images in older individuals. They are associated with various neurological and vascular diseases, such as stroke, dementia, and cardiovascular disorders. READ MORE