Search for dissertations about: "Maskininlärning"

Showing result 1 - 5 of 51 swedish dissertations containing the word Maskininlärning.

  1. 1. Synergies between Chemometrics and Machine Learning

    Author : Rickard Sjögren; Johan Trygg; Olivier Cloarec; Ola Spjuth; Umeå universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; NATURAL SCIENCES; computational science; machine learning; chemometrics; multivariate data analysis; design of experiments; data science; beräkningsvetenskap; maskininlärning; kemometri; multivariat dataanalys; experimentdesign;

    Abstract : Thanks to digitization and automation, data in all shapes and forms are generated in ever-growing quantities throughout society, industry and science. Data-driven methods, such as machine learning algorithms, are already widely used to benefit from all these data in all kinds of applications, ranging from text suggestion in smartphones to process monitoring in industry. READ MORE

  2. 2. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

    Author : Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Materials Science and Engineering; Teknisk materialvetenskap; Metallurgical process science; Metallurgisk processvetenskap;

    Abstract : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. READ MORE

  3. 3. Scalable Bayesian spatial analysis with Gaussian Markov random fields

    Author : Per Sidén; Mattias Villani; Anders Eklund; Håvard Rue; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Spatial statistics; Bayesian statistics; Gaussian Markov random fields; fMRI; Machine learning; Spatial statistik; Bayesiansk statistik; Gaussiska Markov-fält; fMRI; Maskininlärning;

    Abstract : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. READ MORE

  4. 4. Novel beam shaping and computer vision methods for laser beam welding

    Author : Yongcui Mi; Antonio Ancona; Fredrik Sikström; Isabelle Choquet; Högskolan Väst; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Laser beam welding; Beam shaping; Deformable mirror; Process monitoring; Process control; Model validation; Computer vision; Machine learning; Butt joint; T-joint.; Lasersvetsning; Beam shaping; Deformerbar spegel; Processövervakning; Processkontroll; Modellvalidering; Datorsyn; Maskininlärning; Butt joint; T-fogar;

    Abstract : Laser beam welding has been widely applied in different industrial sectors due to its unique advantages. However, there are still challenges, such as beam positioning in T-joint welding, and gap bridging in butt joint welding,especially in the case of varying gap width along a joint. READ MORE

  5. 5. Looking into the Future : How to Use Advanced Statistical Methods for Predicting Psychotherapy Outcomes in Routine Care

    Author : Carl-Johan Uckelstam; Fredrik Falkenström; Björn Philips; Rolf Holmqvist; Sigal Zilcha-Mano; Linköpings universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Statistics; Machine learning; Multilevel modeling; Latent profile analysis; Prediction; Psychotherapy; Routine care; Outcome; Statistik; Maskininlärning; Latent profilanalys; Flernivåanalys; Prediktion; Psykoterapi; Rutinmässig vård; Utfall;

    Abstract : Psychotherapy research has shifted from mainly focusing on the average effects of different treatments to concentrating more on questions related to the individual patient. When research attention shifts, it can give rise to the implementation of new statistical methods that, in turn, can illuminate new challenges that must be addressed. READ MORE