Sökning: "NN."
Visar resultat 1 - 5 av 126 uppsatser innehållade ordet NN..
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 hållbarhetSammanfattning : 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
2. Resource Usage Prediction for Parameter Sweeps with Biochemical System Simulations
Master-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskapSammanfattning : 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
3. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER
4. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
Master-uppsats, KTH/Mekatronik och inbyggda styrsystemSammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER
5. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension
Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknikSammanfattning : 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