Search for dissertations about: "Henrik Boström"

Showing result 1 - 5 of 20 swedish dissertations containing the words Henrik Boström.

  2. 1. Nonconformity Measures and Ensemble Strategies : An Analysis of Conformal Predictor Efficiency and Validity

    Author : Henrik Linusson; Ulf Johansson; Henrik Boström; Alexander Gammerman; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Science; Machine Learning; Conformal Prediction; Classification; Regression; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Conformal predictors are a family of predictive models that associate with each of their predictions a measure of confidence, enabling them to provide quantitative information about their own trustworthiness. In risk-laden machine learning applications, where bad predictions may lead to economic loss, personal injury, or worse, such inherent quality control appears highly beneficial, if not required. READ MORE

  4. 2. Explanation-based transformation of logic programs

    Author : Henrik Boström; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Artificiell intelligens;

    Abstract : .... READ MORE

  5. 3. Co-firing animal waste, sludge, residue wood, peat and forest fuels in a 50MWth CFB boiler : ash transformation, availability and process improvements

    Author : Henrik Hagman; Dan Boström; Rainer Backman; Anders Nordin; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Co-combustion; animal waste; peat; waste wood; forest residues; industrial sludge; limestone; CFB boiler; ash transformation; corrosion; erosion; ash and deposit characteristics; deposit buildup; boiler failures; availability; sulfation; boiler design; boiler conversion; waste derived fuels; large scale; Samförbränning; animaliskt avfall; torv; returträ; skogsbränsle; reningsslam; askomvandling; korrotion; erosion; ask- och beläggnings-karaktäristik; beläggningstillväxt; tillgänglighet; sulfatisering; panndesign; pannkonvertering; avfallsderiverade bränslen; storskalig;

    Abstract : The direct variable costs for heat and electricity production based on solid biomass fuel combustion is approximately 3-5 times lower than the costs in a fossil fuel-oil based boiler in Sweden. In addition waste derived biomass fuels are typically much cheaper than biomass not classified as waste. READ MORE

  6. 4. Co-firing complex biomass in a CFB boiler : ash transformation, corrosion control and materials selection

    Author : Henrik Hagman; Dan Boström; Rainer Backman; Mats Lundberg; Lars-Erik Åmand; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ash transformation; process control; equilibrium calculations; boiler availability; failures; alloy selection; alloy degradation; vortex finder VF ; service life estimation; sulfation; chloridation; high temperature corrosion; biomass; waste derived fuels; forest residues; RDF; Biomal; slaughterhouse waste; peat; waste wood; industrial waste water treatment sludge; HAD; RSMT; Alloy 253MA; Alloy 310S; Alloy 800H HT; Alloy DS; Alloy 600;

    Abstract : The effects of greenhouse gas net emissions on global warming, stricter legislation on waste handling, and the pursuit of ever cheaper heat- and power production are all important factors driving the introduction of complex fuels in incineration plants. However - without fundamental knowledge regarding ash transformation, corrosion control, and materials selection – this introduction of potentially economically and environmentally beneficial fuels, might instead cause economic loss and environmentally adverse effects. READ MORE

  7. 5. Nearest Neighbor Classification in High Dimensions

    Author : Sampath Deegalla; Henrik Boström; Slawomir Nowaczyk; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Nearest Neighbor; High-Dimensional Data; Curse of Dimensionality; Dimensionality Reduction; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : The simple k nearest neighbor (kNN) method can be used to learn from high dimensional data such as images and microarrays without any modification to the original version of the algorithm. However, studies show that kNN's accuracy is often poor in high dimensions due to the curse of dimensionality; a large number of instances are required to maintain a given level of accuracy in high dimensions. READ MORE