Sökning: "performance testing and validation"
Visar resultat 1 - 5 av 107 uppsatser innehållade orden performance testing and validation.
1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER
2. The OpenXO. 3D Printed Modular Exoskeleton Segment
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : Exoskeletons are wearable devices that enhance or supplement the user’s natural abilities. They have been demonstrated to be efective in alleviating pain, reducing work related injuries, improving working conditions, and can play a pivotal role in improving recovery times and recovery outcomes. LÄS MER
3. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. LÄS MER
4. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. LÄS MER
5. Calibration and preparation of the data analysis of the DORN experiment on board the Chang'E 6 lunar mission.
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : As part of the first agreement between the French (CNES) and the Chinese (CNSA) space agencies in terms of space exploration, the DORN instrument will fly on board the Chinese Chang'E 6 mission in 2024. It aims to measure the amount of Radon escaping from the lunar soil to better understand what governs the concentration of this noble gas which contributes to the endogenous origin of the lunar exosphere. LÄS MER