Sökning: "Datadrivna metoder"

Visar resultat 1 - 5 av 34 avhandlingar innehållade orden Datadrivna metoder.

  1. 1. Systematic Data-Driven Continual Self-Learning

    Författare :Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

    Sammanfattning : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. LÄS MER

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

    Författare :Federica Bragone; Stefano Markidis; Kateryna Morozovska; Tor Laneryd; Michele Luvisotto; Matthias Ehrhardt; KTH; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  4. 3. Analytics-driven approaches supporting asset management of sanitary sewer networks

    Författare :Emmanuel Okwori; Annelie Hedström; Maria Viklander; Marius Møller Rokstad; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-driven; Decision Support; Network Robustness; VA-teknik; Urban Water Engineering;

    Sammanfattning : Sewer blockages can cause overflows and flooding, with consequences such as damage to property and environmental pollution, risks to public health and economic loss. Despite the causes being understood, blockages in sewer networks may occur unpredictably. LÄS MER

  5. 4. Ask and distract : Data-driven methods for the automatic generation of multiple-choice reading comprehension questions from Swedish texts

    Författare :Dmytro Kalpakchi; Johan Boye; Joakim Nivre; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; multiple choice questions; question generation; distractor generation; reading comprehension; second-language learners; L2 learning; Natural Language Generation; flervalsfrågor; frågegenerering; distraktorsgenerering; läsförståelse; andraspråkslärande; L2-inlärning; Natural Language Generation; Speech and Music Communication; Tal- och musikkommunikation;

    Sammanfattning : Multiple choice questions (MCQs) are widely used for summative assessment in many different subjects. The tasks in this format are particularly appealing because they can be graded swiftly and automatically. LÄS MER

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

    Författare :Minh Truong; Elena Gutierrez-Farewik; Ruoli Wang; Emelie Butler Forslund; Åke Seiger; Peter Christian Raffalt; KTH; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER