Sökning: "one- parameter model"
Visar resultat 1 - 5 av 576 uppsatser innehållade orden one- parameter model.
1. Glucose Sensing and Differentiating Systems with Organic Electrochemical Neurons : A Future Outlook for Type 2 Diabetes
Master-uppsats, Linköpings universitet/Institutionen för teknik och naturvetenskapSammanfattning : In recent years great advances in the field of biomedical engineering and organic electronics have been achieved. One promising application would be the regulation of blood glucose concentration in type 2 diabetes patients. This application would eliminate medication and would improve the standard of life. LÄS MER
2. Assessment of Climate Change Impact on Rainfed Barley Production in the Mediterranean Basin : The Almeria province case study
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : The Mediterranean basin is widely recognized as a climate change hotspot, with climate models projecting increasingly warmer and drier conditions that will impact local ecosystems, communities, and economies. Agriculture will be among the most affected sectors, with harsher conditions for crops’ growth, greater water needs, and lower yields. LÄS MER
3. Robustness Analysis of Perfusion Parameter Calculations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. 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. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER