Sökning: "avhandling"

Visar resultat 21 - 25 av 2377 uppsatser innehållade ordet avhandling.

  1. 21. Business Model Innovation for Energy Communities : A Cross-Comparative Analysis with the Business Model Canvas in the Swedish energy market

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Sohel Abdu; [2024]
    Nyckelord :Energy Communities; Renewable Energy Systems; Business Model Canvas Innovation; Swedish Energy Policy; Prosumer engagement; Circular Energy Economy; Smart Energy Technology; Sustainable Energy Transition.; Energigemenskaper; Förnybara Energisystem; Affärsmodells Canvas Innovation; Svensk Energipolitik; Prosumer engagemang; Cirkulär Energi Ekonomi; Smart Energiteknik; Hållbar Energi Övergång;

    Sammanfattning : This thesis undertakes a thorough exploration of business models for energy communities, specifically tailored to the unique requirements of the Swedish energy sector. Its objective is to identify and evaluate global business models for energy communities, focusing on their applicability within Sweden's regulatory, market, and socio-cultural contexts. LÄS MER

  2. 22. Digital Dashboard for Enhanced Waste Management in the Stockholm Municipality : Bridging Data Insights and Sustainable Practices

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Youssef Ramy Farouk Fam; [2024]
    Nyckelord :Waste management; Dashboard; Design; Digitalisation; Data visualization; Waste sorting behavior; Avfallshantering; Dashboard; Design; Digitalisering; Datavisualisering; Källsorteringsbeteende;

    Sammanfattning : The surging global trend in waste generation, currently surpassing 2 billion tons annually in cities,stands as a pressing concern amid escalating climate change threats. This master's thesis aims todesign a digital dashboard tailored to the needs of the Stockholm Municipality's waste managementsystem and its different stakeholders. LÄS MER

  3. 23. Comparative Study of the Role of Digital Technologies in Implementing Circular Economy Practices in Product-Service Systems (PSS) : An Analysis Across Varying Organizational Scales

    Master-uppsats, KTH/Produktionsutveckling

    Författare :Ajay Surya Gnaneswaran; [2024]
    Nyckelord :Product Service Systems; PSS; Circular Economy; CE; Digital Technology; DT; Industry 4.0; Circular Strategies; Barriers and Opportunities; Qualitative; Product-tjänste system; PSS; Digitala Teknologier; DT; Cirkulär Ekonomi; CE; Cirkulära Strategier; Industri 4.0; Utmaningar och Möjligheter; Kvalitativ.;

    Sammanfattning : This thesis investigates the integration of digital technologies (DT) within Product-Service Systems (PSS) and their role in promoting Circular Economy (CE) practices. Despite increasing recognition of digitalization in industries with PSS offerings, research on DT as a catalyst for CE, especially across organizations of various sizes, remains limited. LÄS MER

  4. 24. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Författare :Khalid El Yaacoub; [2024]
    Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

  5. 25. Physical Exercise and Fatigue Detection using Machine Learning

    Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Filip Säterberg; Rasmus Nilsson; [2024]
    Nyckelord :Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Sammanfattning : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. LÄS MER