Sökning: "Supervised Methods"
Visar resultat 11 - 15 av 369 uppsatser innehållade orden Supervised Methods.
11. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. LÄS MER
12. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. LÄS MER
13. Self-supervised representation learning from electrocardiogram data for medical applications
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Cardiovascular diseases are the leading cause of death worldwide, increasing yearly. However, many abnormalities in heart cycles can be discovered and treated years before the onset of diseases. But in most societies, regular health checkups are a concept reserved for cars, not humans. LÄS MER
14. Predicting Breakdowns in Transportation Vehicles using Supervised Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER
15. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. LÄS MER