Search for dissertations about: "Artificial Neural Networks"

Showing result 21 - 25 of 170 swedish dissertations containing the words Artificial Neural Networks.

  2. 21. Neural soft sensors for combustion quality estimation

    Author : Nicholas Wickström; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; signal processing; internal combustion engines; modeling; artificial neural networks;

    Abstract : .... READ MORE

  4. 22. Application of artificial neural networks to rock engineering problems

    Author : Yi Huang; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mining and Rock Engineering; Gruv- och Berganläggningsteknik;

    Abstract : This thesis is intended to apply artificial neural network models to different rock engineering problems, such as the determination of aggregate quality parameters, rock indentation depth, ore boundaries and ore grades. The thesis deals with attempts at predictions of these various features from factors that are known or assumed to have an influence on them using artificial neural networks. READ MORE

  5. 23. On learning in mice and machines : continuous population codes in natural and artificial neural networks

    Author : Emil Wärnberg; Konstantinos Meletis; Arvind Kumar; Gilad Silberberg; Mark Humphries; KTH; Karolinska Institutet; Karolinska Institutet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Biotechnology; Bioteknologi; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Abstract : Neural networks, whether artificial in a computer or natural in the brain, could represent information either using discrete symbols or continuous vector spaces. In this thesis, I explore how neural networks can represent continuous vector spaces, using both simulated neural networks and analysis of real neural population data recorded from mice. READ MORE

  6. 24. Water–fat separation in magnetic resonance imaging and its application in studies of brown adipose tissue

    Author : Jonathan Andersson; Joel Kullberg; Håkan Ahlström; Mark Lubberink; Kerstin Lagerstrand; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; brown adipose tissue; magnetic resonance imaging; water–fat signal separation; graph-cut; positron emission tomography; 18F-fludeoxyglucose; infrared thermography; machine learning; artificial neural networks; deep learning; convolutional neural networks; Radiology; Radiologi;

    Abstract : Virtually all the magnetic resonance imaging (MRI) signal of a human originates from water and fat molecules. By utilizing the property chemical shift the signal can be separated, creating water- and fat-only images. READ MORE

  7. 25. 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