Sökning: "Feature Models"

Visar resultat 16 - 20 av 650 uppsatser innehållade orden Feature Models.

  1. 16. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Abboud Afram; Danial Sarab Fard Sabet; [2023]
    Nyckelord :EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

    Sammanfattning : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. LÄS MER

  3. 17. Predicting heart failure emergency readmissions

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Paromita Sur; Alexander Stenberg; [2023]
    Nyckelord :Machine Learning; Patient readmission; Heart Failure; Electronic Health Records;

    Sammanfattning : Recent progress in treatment interventions has resulted in increased survival rates and longevity for diagnosed heart failure patients. However, heart failure still remains one of the leading causes of rehospitalization worldwide, where emergency readmissions continue to be a common occurrence. LÄS MER

  4. 18. Assembly Line Balancing : Addressing the Theory-Practice Gap

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Christoffer Fink; [2023]
    Nyckelord :assembly line balancing; ALB; OptaPlanner;

    Sammanfattning : The efficiency of an assembly line depends on how the different tasks are distributed among the work stations that make up the assembly line. Assigning the tasks to the stations is called assembly line balancing (ALB) and is an NP-hard optimization problem. LÄS MER

  5. 19. Beyond office walls: Maintaining creativity and serendipity in a hybrid workplace. : A qualitative study about how organizations can maintain and nurture creativity in the hybrid workplace.

    Kandidat-uppsats,

    Författare :Carl Quennerstedt; Emma Fromell; Maja Gyldner; [2023]
    Nyckelord :Organizational change; Creativity; Serendipity; Hybrid workplace; Remote work.;

    Sammanfattning : Abstract Background: Hybrid work arrangements are today a common feature in many modern business models. As less time is spent at a common office, they constitute a potential threat in terms of reduced social barometers necessary for creativity and serendipity to occur. LÄS MER

  7. 20. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
    Nyckelord :Bitcoin; Cryptocurrency; Machine Learning;

    Sammanfattning : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. LÄS MER