Sökning: "Optimization function"

Visar resultat 1 - 5 av 486 uppsatser innehållade orden Optimization function.

1. 1. Robustness Analysis of Perfusion Parameter Calculations

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

   Författare :Alicia Palmér; [2024]
   Nyckelord :Perfusion; Medical image analysis; Dynamic Contrast Enhanced Magnetic Resonance Imaging; Tofts model; Functional imaging; Optimization; T1 map; Perfusion; Medicinsk bildanalys; Dynamisk kontrastförstärkt magnetisk resonanstomografibildtagning; Tofts-modell; Funktionell bildbehandling; Optimering; T1 karta;

   Sammanfattning : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. LÄS MER

3. 2. Evaluating aperture shape controller (ASC) in modulated radiation treatments

   Master-uppsats,

   Författare :Vilma Andrén Cederholm; [2023-09-28]
   Nyckelord :Medical physics;

   Sammanfattning : To decrease aperture complexity, the aperture shape controller (ASC) is a recently introduced function in Eclipse external beam planning (Varian Medical Systems, Palo Alto, USA). ASC works within the photon optimizer, minimizing distances between adjacent leaf tips of the MLC. LÄS MER

4. 3. Development of a guide system for free neutron oscillation searches at the European Spallation Source

   Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Lunds Tekniska Högskola; Lunds universitet/European Spallation Source ESS AB

   Författare :Linnéa Björk; [2023]
   Nyckelord :ESS; neutrons; dark matter; antimatter; neutron guides; Physics and Astronomy;

   Sammanfattning : In this project, a neutron delivery system for the study of free neutron oscillations at the HIBEAM beamline at the European Spallation Source (ESS) has been developed. The HIBEAM experiment is part of a two-stage program at ESS which will address open questions in physics; specifically the nature of dark matter and the observed asymmetry between matter and antimatter in the Universe. LÄS MER

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

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Giorgio Sacchi; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

7. 5. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

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

   Författare :Jiaming Huang; [2023]
   Nyckelord :;

   Sammanfattning : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. LÄS MER