Sökning: "a priori modell"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden a priori modell.

1. 1. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments

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

   Författare :Erik Warberg; [2023]
   Nyckelord :Room segmentation; Gaussian processes; Euclidean distance fields; mapping; line segment detection; mobile robots; spectral clustering; Rumssegmentering; Gaussiska processer; Euklidiska avståndsfält; kartläggning; detektering av linjesegment; mobila robotar; spektral klustring;

   Sammanfattning : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. LÄS MER

3. 2. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data

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

   Författare :Daniel Pérez Felipe; [2022]
   Nyckelord :Recurrent neural networks; Recommender systems; Video on demand; Clustering methods; Återkommande neurala nätverk; Rekommendationssystem; Video på begäran; Klustermetoder; Redes neuronales recurrentes; Sistemas de recomendación; Vídeo bajo demanda; Métodos de clustering;

   Sammanfattning : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. LÄS MER

4. 3. A Physics-Informed Deep Learning Framework for Solving Inverse Problems in Epidemiology

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Magnus Tronstad; [2022]
   Nyckelord :;

   Sammanfattning : This thesis develops and evaluates a physics-informed neural network (PINN) modelling framework for solving inverse problems in epidemiology. The PINN works by modifying the standard mean squared error loss function of the neural network, by adding a term penalizing deviations from a given compartmental model's system of ordinary differential equations. LÄS MER

5. 4. Large Scale Photovoltaic Market Analysis In Italy

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

   Författare :Federico Annese; [2021]
   Nyckelord :;

   Sammanfattning : The environmental targets set by Europe of reaching a net zero carbon emission by 2050 and the European Green Deal have increased the environmental targets previously set. The Italian government managed to reach the targets set by 2020 in advance and started to work on the 2030 targets in 2017. LÄS MER

7. 5. Generating synthetic data through Hidden Markov Models

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

   Författare :Jaime Ferrando Huertas; [2018]
   Nyckelord :;

   Sammanfattning : Machine learning has becoming a trending topic in the last years, being now one of the most demanding careers in computer science. This growing has led to more complex models capable of driving a car or cancer detection, however this models improvements are also thanks to the improvements in computational power. LÄS MER