Sökning: "System for averaging models"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden System for averaging models.
1. Classification of Cable Shoe Presses on an Embedded System Using a Neural Network Implemented by Hand
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Pressing cables with cable shoes currently involves the use of high pressure to ensure successful crimping. However, this approach lacks the ability to detect when the pressing has been completed. Elpress intends to develop a handheld tool that can classify cables in real-time and stop the pressing before unnecessary energy is lost. LÄS MER
2. Random Matrix Models
Master-uppsats, Uppsala universitet/Teoretisk fysikSammanfattning : In this thesis, we provide a self contained introduction to the theory of random matrices and matrix models. Our analysis has a chronological order and it begins with the study of nuclear energy levels and ensemble averaging which yields the famous Wigner surmise. LÄS MER
3. Accuracy verification of GT-Power model and reduction of computational time
Master-uppsats, KTH/Marcus Wallenberg Laboratoriet MWLSammanfattning : The noise produced by any new vehicles is tightly regulated by the European Union which have developed a standardised method for measuring the emitted noise of new vehicles. The method involves a vehicle driving past carefully positioned microphones at a specific range of engine speeds. LÄS MER
4. Gaze tracking using Recurrent Neural Networks : Hardware agnostic gaze estimation using temporal features, synthetic data and a geometric model
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vision is an important tool for us humans and significant effort has been put into creating solutions that let us measure how we use it. Most common among the techniques to measure gaze direction is to use specialised hardware such as infrared eye trackers. LÄS MER
5. Classifying and Comparing Latent Space Representation of Unstructured Log Data.
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis explores and compares various methods for producing vector representation of unstructured log data. Ericsson wanted to investigate machine learning methods to analyze logs produced by their systems to reduce the cost and effort required for manual log analysis. LÄS MER