Sökning: "felupptäckning"

Hittade 2 uppsatser innehållade ordet felupptäckning.

1. 1. Error detection in blood work : Acomparison of self-supervised deep learning-based models

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Paul Vinell; [2022]
   Nyckelord :anomaly detection; outlier detection; error detection; machine learning; deep learning; blood work; blood tests; felupptäckning; extremvärden; maskininlärning; djupinlärning; blodprov;

   Sammanfattning : Errors in medical testing may cause serious problems that has the potential to severely hurt patients. There are many machine learning methods to discover such errors. However, due to the rarity of errors, it is difficult to collect enough examples to learn from them. It is therefore important to focus on methods that do not require human labeling. LÄS MER

3. 2. Detecting Failures in Electric Motors in a Simulated Setup Through Machine Learning

   Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

   Författare :Mohammad Qasem; [2022]
   Nyckelord :Computer Science; Machine learning; IoT; Predictive Maintenance; BLDC;

   Sammanfattning :  The use of machine learning for predictive maintenance has been the focus of many studies, usually utilizing industrial setups consisting of actual industrial motors. This work examines the possibility of creating a simple setup to develop a machine learning model to detect electric motor failures, eliminating the need to rely on having access to industrial equipment in the early stages. LÄS MER