Sökning: "maskin problem"

Visar resultat 11 - 15 av 204 uppsatser innehållade orden maskin problem.

  1. 11. Imitation Learning on Branching Strategies for Branch and Bound Problems

    Master-uppsats, KTH/Matematisk statistik

    Författare :Magnus Axén; [2023]
    Nyckelord :Graph Networks; Convolutions; MIP; Branch and Bound; Facility Location Problem; MDP; Imitation Learning; Graf nätverk; Faltning; Blandade heltaltsproblem; Branch and Bound; Facility Location Problem; Markov; Imitationsinlärning;

    Sammanfattning : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. LÄS MER

  3. 12. Development of a Machine Learning Survival Analysis Pipeline with Explainable AI for Analyzing the Complexity of ED Crowding : Using Real World Data collected from a Swedish Emergency Department

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Tobias Haraldsson; [2023]
    Nyckelord :SHAP; Explainable AI; Survival Analysis; LOS; Machine Learning; ED Crowding; SHAP; Förklarbar AI; Överlevnadsanalys; LOS; Maskininlärning; Överbelastning på Akuten;

    Sammanfattning : One of the biggest challenges in healthcare is Emergency Department (ED)crowding which creates high constraints on the whole healthcare system aswell as the resources within and can be the cause of many adverse events.Is is a well known problem were a lot of research has been done and a lotof solutions has been proposed, yet the problem still stands unsolved. LÄS MER

  4. 13. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Felix Boltshauser; [2023]
    Nyckelord :Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

    Sammanfattning : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. LÄS MER

  5. 14. Balanserad samordning genom kollektiv kommunikation : En kontextualiserad studie av hyperautomationsprocessen avseende dess utformning och tillämpning

    Master-uppsats, Linköpings universitet/Informationssystem och digitalisering; Linköpings universitet/Filosofiska fakulteten

    Författare :Matilda Axelsson; [2023]
    Nyckelord :Hyperautomation; organisatorisk automatisering; människa-maskin-interaktion; teknologiska ramar; automation-augmentation-paradoxen; distribuerad kognition; ansvarsfull innovation;

    Sammanfattning : Bakgrund och syfte: Det finns en ny generation av organisatorisk automatisering kallad hyper- automation. Till skillnad från klassisk automation omfattar hyperautomation en samordnad tillämpning av olika avancerade automatiseringstekniker, såsom RPA, AI och ML, som kan tillämpas för att automatisera såväl rutinmässiga som mer kognitivt krävande arbetsuppgifter. LÄS MER

  7. 15. Assessment of Lower Limb Muscle Strength: Feasibility and Implementation on Exxentric’s SingleExx Machines

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Maximilian Geisler; [2023]
    Nyckelord :Force measurement; Lower limb strength; Symmetry assessment; Flywheel-based leg extension machine; Prototype development; Isokinetic dynamometer; Kraftmätning; Styrka i nedre extremiteterna; Symmetribedömning; Flywheel- baserad benförlängningsmaskin; Prototyputveckling; Isokinetisk dynamometer;

    Sammanfattning : Measuring lower limb strength and symmetry is a common practice in elite sports to determine the return to sports point in time during rehabilitation, and this information could be useful for amateur athletes too. However, the devices used for this are highly sophisticated and hardly accessible. LÄS MER