Sökning: "detection and classification"

Visar resultat 1 - 5 av 240 avhandlingar innehållade orden detection and classification.

  1. 1. Detection and Classification in Electrocardiac Signals

    Författare :Magnus Åström; Institutionen för elektro- och informationsteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Signal processing; morphology classification; QRS detection; ischemia; body position changes; electrogram; ECG; electrocardiogram; clustering; classification; Detection; sensing;

    Sammanfattning : Signal processing can be used to condition medical signals to facilitate their interpretation, and to extract clinically important information. The purpose of the present doctoral thesis is to put forward solutions to certain problems encountered in the processing of electrocardiac signals. LÄS MER

  2. 2. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches

    Författare :Damian Dziak; Wlodek Kulesza; Darius Andriukaitis; Blekinge Tekniska Högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Assessment; Behavior Recognition; Classification; Design Methodology; Detection; Indoor Localization; Internet of Things; Multi-Sensor System; Skills Assessment; Outdoor Localization; Wireless Sensor Network; Applied Signal Processing; Tillämpad signalbehandling;

    Sammanfattning : The detection and classification of features or properties, which characterize people, things or even events can be done in reliable way due to the development of new technologies such as Internet of Things (IoT), and also due to advances in Artificial Intelligence (AI) and machine learning algorithms. Interconnection of users with sensors and actuators have become everyday reality and IoT, an advanced notation of a Multi-sensor System, has become an integral part of systems for assessment of people’s habits and skills as well as the evaluation of quality of things or events' performances. LÄS MER

  3. 3. Community detection : Lower bounds and axiomatic classification

    Författare :Vilhelm Agdur; Fiona Skerman; Tatyana Turova; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; community detection; graph clustering; graph theory; Mathematics with specialization in Applied Mathematics; Matematik med inriktning mot tillämpad matematik;

    Sammanfattning : .... LÄS MER

  4. 4. Perceptually motivated speech recognition and mispronunciation detection

    Författare :Christos Koniaris; Olov Engwall; Martin Cooke; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; feature extraction; feature selection; auditory models; MFCCs; speech recognition; distortion measures; perturbation analysis; psychoacoustics; human perception; sensitivity matrix; pronunciation error detection; phoneme; second language; perceptual assessment;

    Sammanfattning : This doctoral thesis is the result of a research effort performed in two fields of speech technology, i.e., speech recognition and mispronunciation detection. Although the two areas are clearly distinguishable, the proposed approaches share a common hypothesis based on psychoacoustic processing of speech signals. LÄS MER

  5. 5. Sensors and Algorithms in Industry 4.0 : Security and Health Preservation Applications

    Författare :Dawid Gradolewski; Wlodek Kulesza; Sven Johansson; Alberto Rodriguez-Martinez; Blekinge Tekniska Högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Acoustic Sensor; Artificial Intelligence; Autonomisation; Classification; Detection; Feature Extraction; Health Preservation; Identification; Internet of Things; Machine Learning; Multi-Sensor System; Safety System; Vision System; Systemteknik; Systems Engineering;

    Sammanfattning : Globalisation and technological digitisation have triggered an Industry 4.0. revolution.  The core of this revolution is autonomisation of complex processes, which require expert knowledge. LÄS MER