Search for dissertations about: "Maskininlärning"

Showing result 11 - 15 of 131 swedish dissertations containing the word Maskininlärning.

  2. 11. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

    Author : Axel Ringh; Johan Karlsson; Rodolphe Sepulchre; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Inverse problems; convex optimization; variational regularization; trigonometric moment problems; optimal mass transport; computed tomography; machine learning; analytic interpolation; delay systems; Inversa problem; konvex optimering; variationell regularisering; trigonometriska momentproblem; optimal masstransport; datortomografi; maskininlärning; analytisk interpolation; system med tidsfördröjning; Mathematics; Matematik;

    Abstract : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. READ MORE

  4. 12. Quantifying Gait Characteristics and Neurological Effects in people with Spinal Cord Injury using Data-Driven Techniques

    Author : Minh Truong; Elena Gutierrez-Farewik; Ruoli Wang; Emelie Butler Forslund; Åke Seiger; Peter Christian Raffalt; KTH; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; gait analysis; pathological gait; biomechanics; health informatics; metabolic cost; unsupervised learning; nonparametric regression; shapley addictive explanations; gånganalys; funktionsnedsättning; gångpatologi; energiförbrukning; maskininlärning; hälsoinformatik; biomekanik; AI; Teknisk mekanik; Engineering Mechanics;

    Abstract : Spinal cord injury, whether traumatic or nontraumatic, can partially or completely damage sensorimotor pathways between the brain and the body, leading to heterogeneous gait abnormalities. Mobility impairments also depend on other factors such as age, weight, time since injury, pain, and walking aids used. READ MORE

  5. 13. Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems Components

    Author : Federica Bragone; Stefano Markidis; Kateryna Morozovska; Tor Laneryd; Michele Luvisotto; Matthias Ehrhardt; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Physics-Informed Neural Networks; Machine Learning; Data-Driven Methods; Circular Economy; Power Systems Components; Sustainability; Cellulose Nanofibrils; Fysikinformerade Neurala Nätverk; Maskininlärning; Datadrivna Metoder; Cirkulär Ekonomi; Kraftsystemets Komponenter; Hållbarhet; Cellulosananofibriller; Datalogi; Computer Science;

    Abstract : A power system consists of several critical components necessary for providing electricity from the producers to the consumers. Monitoring the lifetime of power system components becomes vital since they are subjected to electrical currents and high temperatures, which affect their ageing. READ MORE

  6. 14. Combining Evolution and Physics through Machine Learning to Decipher Molecular Mechanisms

    Author : Darko Mitrovic; Lucie Delemotte; Gerhard Hummer; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Molecular Dynamics Simulation; Evolution; Enhanced Sampling; Machine Learning; Molecular Mechanism; Molekyldynamiksimuleringar; Evolution; Accelererad utforskning; Maskininlärning; Molekylära mekanismer; Biologisk fysik; Biological Physics;

    Abstract : From E.coli to elephants, the cells of all living organisms are surrounded by a near impenetrable wall of lipids. The windows through the walls are membrane proteins - receptors, transporters and channels that confer communication, information and metabolites through the membrane. READ MORE

  7. 15. Towards enhanced sales and operations planning : Using machine learning for decision support in an engineer-to-order context

    Author : Nils-Erik Ohlson; Jenny Bäckstrand; Maria Riveiro; Hafez Shurrab; Jönköping University; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Engineer-to-order; tactical planning; sales and operations planning; machine learning; trust; konstruktion mot order; taktisk planering; sälj- och verksamhetsplanering; maskininlärning; tillit;

    Abstract : All companies deal with tactical planning questions and decisions, for example balance demand and supply, to be able to create an acceptable delivery ability without too much inventory or resources/capacities. For that, some companies use Sales and Operations Planning (S&OP) as their tactical planning process. READ MORE