Essays about: "Multivariate Networks"

Showing result 21 - 25 of 47 essays containing the words Multivariate Networks.

  1. 21. Real-time Classification of Multi-sensor Signals with Subtle Disturbances Using Machine Learning : A threaded fastening assembly case study

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Theodor Olsson; [2021]
    Keywords : Multivariate time series classification; Residual-based fault detection; Low-pass filter; Support vector machine; Threaded fastening assembly; Multivariat tidserieklassificering; Residual-baserad feldetektering; Lågpass-filter; Stödvektormaskin; Åtdragningsmontering;

    Abstract : Sensor fault detection is an actively researched area and there are a plethora of studies on sensor fault detection in various applications such as nuclear power plants, wireless sensor networks, weather stations and nuclear fusion. However, there does not seem to be any study focusing on detecting sensor faults in the threaded fastening assembly application. READ MORE

  3. 22. Analysing different optimization algorithms for training of neural networks

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Arnab Nandi; Alexandros Simeonidis; [2021]
    Keywords : ;

    Abstract : This thesis analyses four different optimization algorithms for training a convolutional neural network (CNN) using three different datasets. The algorithms studied were stochastic gradient descent (SGD), Polyak momentum, Nesterov momentum and Adaptive Moment Estimation (ADAM). READ MORE

  4. 23. Emotion Detection from Electroencephalography Data with Machine Learning : Classification of emotions elicited by auditory stimuli from music on self-collected data sets

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Filip Söderqvist; [2021]
    Keywords : Electroencephalography; Deep learning; Machine learning; Likeability; Valence; Arousal; Emotion detection; Elektroencefalografi; Djupinlärning; Maskininlärning; Omtyckthet; Valens; Aktiveringsgrad; Känslodetektion;

    Abstract : The recent advances in deep learning have made it state-of-the-art for many different tasks, making its potential usefulness for analyzing electroencephalography (EEG) data appealing. This study aims at automatic feature extraction and classification of likeability, valence, and arousal elicited by auditory stimuli from music by training deep neural networks (DNNs) on  minimally pre-processed multivariate EEG time series. READ MORE

  5. 24. Using Leap Motion for the Interactive Analysis of Multivariate Networks

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Marcello Pietro Vendruscolo; Andreas Lif; [2020]
    Keywords : Multivariate Networks; Information Visualisation; Natural User Interface; Leap Motion; Human-Computer Interaction; Hand Gesture Designs;

    Abstract : This work is an interdisciplinary study involving mainly the fields of information visualisation and human-computer interaction. The advancement of technology has expanded the ways in which humans interact with machines, which has benefited both the industry as well as several fields within science. READ MORE

  6. 25. Bridging the Gap between Formal and Informal Finance

    University essay from Lunds universitet/Ekonomisk-historiska institutionen

    Author : Heidi Uitto; [2020]
    Keywords : financial inclusion; propensity to save; informal finance; development; gender; Business and Economics;

    Abstract : Financial inclusion, defined as access and usage of formal financial services, has several positive micro and macro-level socio-economic implications. Due to decades of vigorous policies aiming at lowering barriers to formal finance, 80 percent of Indians now own a bank account. However, there is a significant gap between account take up and usage. READ MORE