Sökning: "Neural decomposition."

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Neural decomposition..

1. 1. Using search based methods for beamforming

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Adam Bergman Karlsson; [2024]
   Nyckelord :Beamforming; Artificial Intelligence; AlphaZero; Radio Resource Management; Monte Carlo Tree Search;

   Sammanfattning : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. LÄS MER

3. 2. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Fredrik Kortetjärvi; Rohullah Khorami; [2023]
   Nyckelord :Graph Neural Network;

   Sammanfattning : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. LÄS MER

4. 3. Predicting eigenvalues and eigenmodes in non-rectangular rooms with machine learning techniques

   Master-uppsats, KTH/Teknisk akustik

   Författare :Oscar Lundin; [2022]
   Nyckelord :Machine learning; Finite elements; Plane wave decomposition; ResNet; Room acoustics; Tensorflow; Keras; Eigenfrequency prediction; Maskininlärning; Finita elementmetoden; Planvåguppdelning decomposition; Rumsakustik; ResNet; Tensorflow; Keras; Prediktering av egenvärden; Egenfrekvenser; Egenmoder.;

   Sammanfattning : Knowing the eigenfrequencies and eigenmodes is of great importance to interior design and a common acoustic engineering problem. Challenges in noise control makes knowing the lower eigenfrequencies particularly important. LÄS MER

5. 4. Nonlinear Methods of Aerodynamic Data-driven Reduced Order Modeling

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

   Författare :Arvid Forsberg; [2022]
   Nyckelord :machine learning; aerodynamics; autoencoder; kernel transformation; principal component analysis; nonlinear; regression; modeling; surrogate model; reduced order modeling; neural network;

   Sammanfattning : Being able to accurately approximate outputs of computationally expensive simulations for arbitrary input parameters, also called missing points estimation, is central in many different areas of research and development with applications ranging from uncertainty propagation to control system design to name a few. This project investigates the potential of kernel transformations and nonlinear autoencoders as methods of improving the accuracy of the proper orthogonal decomposition method combined with regression. LÄS MER

7. 5. Automated HER2 Scoring of Breast Cancer Tissue using Upconverting Nanoparticle Images

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Adam Belfrage; Alexander Wik; [2022]
   Nyckelord :HER2-scoring; image analysis; interpretability; digital pathology; computer aided pathology; whole slide imaging; ASCO-guidelines; singular value decomposition; shape models; Bayesian classification; Biology and Life Sciences; Medicine and Health Sciences; Technology and Engineering; Mathematics and Statistics;

   Sammanfattning : Computer aided pathology is becoming more and more of a requirement within pathology due to increased demand of individualised treatments and personalised medicine. Because of the advance of digital pathology in recent years, where a high resolution camera acquire images of microscope slides, pathologists can now assess tissue samples in digital images. LÄS MER