Sökning: "Nn Model"

Visar resultat 1 - 5 av 63 uppsatser innehållade orden Nn Model.

1. 1. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

   Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Författare :Alireza Momtaz; Mohammad Befkin; [2024]
   Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

   Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

3. 2. Resource Usage Prediction for Parameter Sweeps with Biochemical System Simulations

   Master-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskap

   Författare :Minjia Zhou; [2024]
   Nyckelord :;

   Sammanfattning : Exploring the behavior of biochemical systems when subjected to certain internal and external changes is fascinating, and these variations can be investigated through computational simulations. However, the computational cost of simulations is often quite high, necessitating an understanding of the computational requirements and resource utilization of these simulations. LÄS MER

4. 3. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension

   Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

   Författare :Frida Hermansson; [2023]
   Nyckelord :Pulmonary Hypertension; pulmonary hypertension; improving; physiological-guided; machine learning; neural networks; NN; artificial neural networks; non-invasive; PH; tricuspid regurgitation; peak tricuspid regurgitation velocity; tricuspid regurgitation velocity; right ventricular systolic pressure; VGG16; Unet; TR-CNN; CNN; pulmonell hypertension; förbättra; fysiologisk-guidning; neurala nätverk; trikuspidal regurgitation; maximal trikuspidal regurgitation; icke-invasivt;

   Sammanfattning : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). LÄS MER

5. 4. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

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

   Författare :Kevin Coleman; [2023]
   Nyckelord :Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

   Sammanfattning : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. LÄS MER

7. 5. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden

   Master-uppsats, Stockholms universitet/Statistiska institutionen

   Författare :Tea Unnebäck; [2023]
   Nyckelord :foreign trade in services; sampling; sampling frame; statistics; machine learning; random forest; predicting; extreme gradient boosting; k nearest neighbors; k-nn; official statistics; statistics sweden;

   Sammanfattning : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. LÄS MER