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Visar resultat 1 - 5 av 17 uppsatser som matchar ovanstående sökkriterier.

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

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

   Författare :Frida Skarf; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 2. Uncertainty Estimation in Volumetric Image Segmentation

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

   Författare :Donggyun Park; [2023]
   Nyckelord :Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

   Sammanfattning : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. LÄS MER

4. 3. Att bekämpa ovisshet : Hur uppfattningar om ovisshet kan påverka samarbete i en militär organisation

   Master-uppsats, Försvarshögskolan

   Författare :Philip Lagerdahl; [2023]
   Nyckelord :Underrättelsetjänst; militära uppdragsgivare; epistemiska samhörigheter; beslutsfattning.;

   Sammanfattning : Uncertainty shapes the world for decisionmakers and their supporting intelligence officials. There is much written about the relation between political decisionmakers and the larger intelligence agencies. But most decisionmakers that are handling uncertainty are not politicians and they are not supported by specific intelligence agencies. LÄS MER

5. 4. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Tove Ågren; [2022]
   Nyckelord :Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

   Sammanfattning : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. LÄS MER

7. 5. “Why isn’t anyone telling us?” - En socialantropologisk studie om kunskap och antivaccin-forum online

   Kandidat-uppsats, Lunds universitet/Socialantropologi

   Författare :Malin Nilsson; [2021]
   Nyckelord :socialantropologi; konspirationsteorier; Covid-19; internetforum; kunskap; Social Sciences;

   Sammanfattning : This thesis examines conspiracy theories and the scepticism that exists concerning Covid-19 vaccines, although science today is easily accessible. The discussion revolves around what scepticism is present in anti-vaccine forums, why some people distance themselves from the current scientific debate and why they turn to internet forums to gather information. LÄS MER