Sökning: "Classification"

Visar resultat 1 - 5 av 2532 uppsatser innehållade ordet Classification.

  1. 1. NSGA-II DESIGN FOR FEATURE SELECTION IN EEG CLASSIFICATION RELATED TO MOTOR IMAGERY

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Robin Johansson; [2020]
    Nyckelord :;

    Sammanfattning : Feature selection is an important step regarding Electroencephalogram (EEG) classification, for a Brain-Computer Interface (BCI) systems, related to Motor Imagery (MI), due to large amount of features, and few samples. This makes the classification process computationally expensive, and limits the BCI systems real-time applicability. LÄS MER

  2. 2. Implementation of a Deep Learning Inference Accelerator on the FPGA.

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Shenbagaraman Ramakrishnan; [2020]
    Nyckelord :Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Sammanfattning : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. LÄS MER

  3. 3. The challenge of data-driven requirements elicitation techniques : Systematic Literature Review & Controlled Experiment

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik; Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Tianpeng Zhang; Linxiang Ruan; [2020]
    Nyckelord :Requirements Elicitation; Data-Driven Requirements; Social Network Analysis; Text Classification;

    Sammanfattning : Background. Nowadays, Requirements Engineering(RE) focuses not only the pri- mary stakeholders but also large scale data, which comes from an amount of cus- tomers’ operations and feedback. For instance, the user reviews in the mobile app platform become an important analysis target, since they contain a lot of informa- tion. LÄS MER

  4. 4. Rehabilitering i naturmiljö för personer med svår stress

    Kandidat-uppsats, Lunds universitet/Institutionen för hälsovetenskaper; Lunds universitet/Arbetsterapi och aktivitetsvetenskap

    Författare :Moa Fältman; Matilda Åkesson; [2020]
    Nyckelord :Naturbaserad rehabilitering; naturbaserad terapi; trädgårdsterapi; arbetsterapi.; Medicine and Health Sciences;

    Sammanfattning : Bakgrund: Psykisk ohälsa är ett växande hälsoproblem. Att rehabiliteras i naturmiljö har visats bidra till ökad hälsa för personer med svår stress. Att göra en litteraturöversikt är aktuellt för att konstatera vad det finns för forskning idag om rehabilitering i naturmiljö. LÄS MER

  5. 5. Hand Gesture Classification using Millimeter Wave Pulsed Radar

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Eda Dagasan; [2020]
    Nyckelord :Hand Gesture Classification; Millimeter Wave Radar; Statistical Signal Processing; Time-Frequency Analysis; Room Impulse Response Estimation; Sparse Dictionary Learning; Classification; Supervised Learning; Convolutional Neural Networks; k-Nearest Neighbor; Mathematics and Statistics;

    Sammanfattning : Millimeter wave pulsed radar has found many applications, among them hand gesture sensing, which this work has as purpose. This application has already shown good potential, [1], and here in this work robustness aspects are taken into account. LÄS MER