Sökning: "deep models"

Visar resultat 11 - 15 av 398 avhandlingar innehållade orden deep models.

1. 11. Supervised and Unsupervised Deep Learning Models for Flood Detection

   Författare :Ritu Yadav; Yifang Ban; Andrea Nascetti; Nicolas Audebert; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Floods; Remote Sensing; Sentinel-1 SAR; Segmentation; Change Detection; DEM; Data Fusion; Time Series; Deep Learning; Unsupervised Learning; Contrastive Learning; Self-Attention; Convolutional LSTM; Variational AutoEncoder VAE ; Geoinformatik; Geoinformatics;

   Sammanfattning : Human civilization has an increasingly powerful influence on the earthsystem. Affected by climate change and land-use change, floods are occurringacross the globe and are expected to increase in the coming years. Currentsituations urge more focus on efficient monitoring of floods and detecting impactedareas. LÄS MER

3. 12. End-to-End Learning of Deep Structured Models for Semantic Segmentation

   Författare :Måns Larsson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Semantic segmentation; deep structured models; supervised learning; convolutional neural networks; conditional random fields;

   Sammanfattning : The task of semantic segmentation aims at understanding an image at a pixel level. This means assigning a label to each pixel of an image, describing the object it is depicting. LÄS MER

4. 13. CO2 storage in deep saline aquifers : Models for geological heterogeneity and large domains

   Författare :Liang Tian; Auli Niemi; Fritjof Fagerlund; Simon Mathias; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; CO2; Carbon Capture Storage; Storage Capacity; Injectivity; Monte Carlo; Gaussian; Permeability; Upscaling; 二氧化碳; 地質封存; 高斯仿真; 滲透係數; 非均質性; 升尺度; 存儲效能; 場地模擬; 不確定性; 壓力累積;

   Sammanfattning : This work presents model development and model analyses of CO2 storage in deep saline aquifers. The goal has been two-fold, firstly to develop models and address the system behaviour under geological heterogeneity, second to tackle the issues related to problem scale as modelling of the CO2 storage systems can become prohibitively complex when large systems are considered. LÄS MER

5. 14. Lung mechanics and airway inflammation in murine models of asthma

   Författare :Sofia Jonasson; Josephine Hjoberg; Hedenstierna Göran; Carl Persson; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; allergic asthma; airway inflammation; murine models; lung mechanics; forced oscillation technique; airway reactivity; deep inhalations; oxidative stress; nitric oxide; glucocorticoids.; Clinical physiology; Klinisk fysiologi; klinisk fysiologi; Clinical Physiology;

   Sammanfattning : Allergic asthma is an inflammatory disease of the airways and is characterized by eosinophilic inflammation and increased airway reactivity. In the studies presented in this thesis, lung mechanics and measurements of airway reactivity were assessed in anaesthetized tracheostomized mice by using an animal ventilator (flexiVent®). LÄS MER

7. 15. Regularised Weights in Statistical Models

   Författare :Olof Zetterqvist; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Lasso; Robust Statistics; Deep Learning; Weighted loss.; Noisy Labels; Neural Networks; Regularisation;

   Sammanfattning : For flexible and overparameterised models like neural networks, overfitting can be a notorious problem that makes it hard to give accurate predictions in real-life usage. Overfitting is in particular likely in the presence of errors in the training data, such as misclassifications or outliers. LÄS MER