Sökning: "Spatial Dependency"

Visar resultat 1 - 5 av 37 uppsatser innehållade orden Spatial Dependency.

  1. 1. Polymer gel dosimetry with MRI-readout for 3D dose verification - detector characteristics and clinical applications

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Thi Guldhill; [2023]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Background & Purpose: Radiation therapy is an essential treatment for cancer patients with the ultimate goal to deliver radiation doses to the tumour with precision while minimizing exposure to surrounding healthy tissues. Treatment verification is crucial to ensure the accuracy of radiation delivery, for instance by measuring the radiation dose distribution. LÄS MER

  3. 2. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :August Thomasson; [2023]
    Nyckelord :visibility forecast; fog; machine learning; numerical weather predicition; XGBoost; Random Forest; siktprognos; dimma; maskininlärning; numerisk vädermodell; XGBoost; Random Forest;

    Sammanfattning : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. LÄS MER

  4. 3. The Promise of a Green Revolution : Conceptions of climate change and sustainability in local movements objecting to mining establishment

    Master-uppsats, Uppsala universitet/Institutionen för kulturantropologi och etnologi

    Författare :Caroline Reinhammar; [2023]
    Nyckelord :;

    Sammanfattning : This study explores how vernacular understandings of climate change and sustainability are formed in relation to local disputes concerning mineral exploration. In a search for a solution to climate change, the interest in rare earth elements (REEs), and other metals used in green technology has resulted in granting mining companies processing concessions in Sweden. LÄS MER

  5. 4. Memory and Reasoning in Deep Learning : Data efficiency of the SAM-based Two-memory (STM) Model

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

    Författare :Andrzej Perzanowski; [2022]
    Nyckelord :Deep learning; Data efficiency; Memory-augmented neural networks; Memory; Reasoning; bAbI challenge; Djupinlärning; Dataeffektivitet; Minnesförstärkta nätverk; Minne; Resonemang; bAbI-utmaning;

    Sammanfattning : Developing Deep Learning models capable of learning to reason and store memories are some of the most important current challenges in AI research. Finding out which network architectures are best suited for tackling this problem can guide research toward the most promising approaches. LÄS MER

  7. 5. Modeling the Head Effect in Hydropower River Systems using MILP and BLP Approaches

    Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Författare :Lina Larsson; Mikaela Lindberg; [2022]
    Nyckelord :Hydropower optimization; Hydropower scheduling; The head effect; Bilinear programming; Mixed-integer linear programming;

    Sammanfattning : With a fast-growing electricity demand and a larger proportion of intermittent energy sources follows a greater need for flexible and balancing sources of electricity, such as hydropower. Planning of hydropower production is considered to be a difficult problem to solve due to several nonlinearities, combinatorial properties and the fact that it is a large scale system with spatial-temporal coupling. LÄS MER