Sökning: "source domain"

Visar resultat 11 - 15 av 267 uppsatser innehållade orden source domain.

1. 11. Automatic Generation Of Graphical Editors From Graphical Notation Specifications

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Joakim Korhonen; Gloria Ninsiima; [2023]
   Nyckelord :;

   Sammanfattning : The use of graphical editors in model-driven engineering has increased as they simplify the design of domain systems by allowing users to manipulate elements using diagrams. This helps developers by elaborating systems and making them easier to analyze with visual representations and with less coding. LÄS MER

3. 12. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

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

   Författare :Victor Sanchez; [2023]
   Nyckelord :Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

   Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER

4. 13. Line Distance Protection in Power Grids with Variable Renewable Energy Sources : An Investigation on Time Domain Distance Protection via Parameter Estimation

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

   Författare :Ludvig Ringaby; [2023]
   Nyckelord :Distance protection; Power system protection; Time domain distance protection; Differential Equation Algorithm; Variable renewable energy; IBR; Distansskydd; Skyddssystem i elkraftsystem; Tidsdomän distansskydd; Differentialekvationsalgoritm; Variabel förnybar energi;

   Sammanfattning : Variable renewable energy sources typically connect to the power grid through power electronic interfaces. Increased use of such sources can cause issues for conventional distance protection. LÄS MER

5. 14. Robust BECCS deployment strategies under deep uncertainty : A case study of Stockholm Exergi

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Oscar Stenström; [2023]
   Nyckelord :Bioenergy carbon capture and storage; BECCS; decision making under deep uncertainty; DMDU; Dynamic Adaptive Planning; DAP; Robust Decision Making; RDM; Bioenergy carbon capture and storage; BECCS; decision making under deep uncertainty; DMDU; Dynamic Adaptive Planning; DAP; Robust Decision Making; RDM;

   Sammanfattning : The most recent IPCC assessment shows that negative emissions (NEs) and carbon dioxide removal (CDR) technologies are becoming increasingly important in scenarios that limit global warming to 2 °C or lower. In these scenarios, one key set of CDR technologies is bioenergy carbon capure and storage (BECCS). LÄS MER

7. 15. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection

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

   Författare :Erik Zetterström; [2023]
   Nyckelord :Neural networks; Deep learning; Convolutional neural networks; Transfer learning; Domain adaptation; Unsupervised training; Adversarial training; Keypoint detection; Regression; Neurala nätverk; Djupinlärning; Faltningsnätverk; Överförningsinlärning; Domänadaptering; Oövervakad inlärning; Motstående träning; Nyckelpunktsdetektion; Regression;

   Sammanfattning : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. LÄS MER