Essays about: "beslutsprocesser"

Showing result 1 - 5 of 67 essays containing the word beslutsprocesser.

  1. 1. Offshore Wind Farms in Norway : A Spatial Multi-Criteria Analysis for Optimal Site Location

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Adam Törnqvist; Vincent Edberg; [2024]
    Keywords : Offshore wind power; Spatial Multi-criteria Analysis; Renewable energy; Suit-ability map; Geographical Information System; Havsbaserad vindkraft; Spatial multikriterieanalys; Förnybar energi; Lämp-lighetskarta; Geografiskt informationssystem;

    Abstract : Recognizing the imperative transition towards renewable energy sources to combat climate change, this study explores the outlooks for offshore wind power in Norway, a country endowed with extensive coastlines and favourable wind conditions. The thesis sets out to support decision-making processes by synthesizing contemporary research and applying context-specific insights to the southern half of the Norwegian economic zone (NEZ) into a comprehensive Spatial-Multi-criteria Analysis (SMCA). READ MORE

  2. 2. Uncertainty Estimation in Radiation Dose Prediction U-Net

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Frida Skarf; [2023]
    Keywords : Radiation dose prediction models; U-net; quantile regression; Monte Carlo Dropout; epistemic uncertainty estimation; aleatoric uncertainty estimation; Stråldospredicerande modeller; U-net; kvantilregression; Monte Carlo Dropout; epistemisk osäkerhetsskattning; aletorisk osäkerhetsskattning;

    Abstract : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. READ MORE

  3. 3. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

    University essay from KTH/Matematik (Avd.)

    Author : Giorgio Sacchi; [2023]
    Keywords : Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

    Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE

  4. 4. A investigative study of social security in Hammarby Sjöstad

    University essay from KTH/Urbana och regionala studier

    Author : Hawber Garib; [2023]
    Keywords : Security; urban planning; water; energy efficiency; service; accessibility; Trygghet; stadsplanering; vatten; energieffektivitet; service; tillgänglighet.;

    Abstract : The conducted study has illuminated and examined Hammarby Sjöstad district administration's strategic use of the concept of "security" as a central part of their overall sustainability efforts. Hammarby Sjöstad, a prominent neighborhood in Stockholm, has established itself as an exemplary example of how urban development can integrate sustainability, environmental awareness, and quality of life. READ MORE

  5. 5. Explainable AI for Multi-Agent Control Problem

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Hanna Prokopova; [2023]
    Keywords : ;

    Abstract : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. READ MORE