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Visar resultat 1 - 5 av 1300 uppsatser som matchar ovanstående sökkriterier.
1. Investigation of Injury Predictors for Rat Neuro Trauma
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. LÄS MER
2. 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
3. Efficiency by design : A way to meet expert users' needs
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : The administration software is a crucial component of any successful company. It is often overlooked, but it plays an essential role in ensuring the smooth operation of the business. It is the backbone of the company's operations, and it must be able to meet the evolving needs of its users. LÄS MER
4. Hur avrinningskoefficienten varierar med återkomsttid - En jämförelse mellan fyra olika områden i Sverige
Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresursläraSammanfattning : As climate change progresses, heavy rainfall in Sweden is becoming more frequent and intense, coinciding with an increase in impermeable surfaces in urban areas. This raises the risk of flooding as drainage networks may exceed their capacity due to increased runoff. LÄS MER
5. Deep reinforcement learning for automated building climate control
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. LÄS MER