Search for dissertations about: "Learning curve"

Showing result 16 - 20 of 65 swedish dissertations containing the words Learning curve.

2. 16. Neural Network Approaches To Survival Analysis

   Author : Jonas Kalderstam; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Survival Analysis; Artificial Neural Networks; Machine Learning; Genetic Algorithms; Evolutionary Algorithms; Fysicumarkivet:2015:Kalderstam;

   Abstract : Predicting the probable survival for a patient can be very challenging for many diseases. In many forms of cancer, the choice of treatment can be directly impacted by the estimated risk for the patient. This thesis explores different methods to predict the patient's survival chances using artificial neural networks (ANN). READ MORE

4. 17. Analyzing technological change using experience curves - a study of the combined cycle gas turbine

   Author : Ulrika Claeson Colpier; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Experience curves; technology assessment.; combined cycle gas turbine; electricity-generation costs; learning curves; technological development;

   Abstract : The aim of this thesis was to analyze and discuss the use of experience curves as a possible instrument for assessing future developments of a specific energy technology: the combined cycle gas turbine (CCGT). The CCGT technology is expected to figure prominently in future energy systems. READ MORE

5. 18. Properties of Type Ia Supernovae : From the (intermediate) Palomar Transient Factory

   Author : Seméli Papadogiannakis; Ariel Goobar; Rahman Amandius; Ulrich Feindt; Edward Baron; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Type Ia supernovae; cosmology; machine learning; fysik; Physics;

   Abstract : Type Ia Supernovae (SNe) have been used to discover the accelerated expansion of the universe but many open questions remain unanswered. These include the stellar progenitor, extinction and possible systematic trends in the supernova brightness for different host galaxy environments or cosmic time. READ MORE

6. 19. ICU prognostication: Time to re-evaluate? Register-based studies on improving prognostication for patients admitted to the intensive care unit (ICU)

   Author : Peder Andersson; Anestesiologi och intensivvård; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Intensive Care; Critical Care; Mortality; Cerebral Performance Category; Cardiac arrest; Out-of-hospital cardiac arrest; Sepsis; Lactate; Troponin; Neuron-specific enolase; Neurofilament light; Age; Elderly; Prognostication; Prediction; Scoring system; Neural net; Artificial neural network; Deep learning; Artificial intelligence;

   Abstract : Background: ICU prognostication is difficult because of patients’ prior comorbidities and their varied reasons for admission. The model used for ICU prognostication in Sweden is the Simplified Acute Physiology Score 3 (SAPS 3), which uses information gathered within one hour of ICU admission to predict 30-day mortality. READ MORE

7. 20. Interpretable Battery Lifetime Prediction Using Early Degradation Data

   Author : Huang Zhang; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; interpretable machine learning; uncertainty quantification; lithium-ion battery; lifetime early prediction; capacity knee;

   Abstract : Battery lifetime prediction using early degradation data is crucial for optimizing the lifecycle management of batteries from cradle to grave, one example is the management of an increasing number of batteries at the end of their first lives at lower economic and technical risk. In this thesis, we first introduce quantile regression forests (QRF) model to provide both cycle life point prediction and range prediction with uncertainty quantified as the width of the prediction interval. READ MORE