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Visar resultat 1 - 5 av 19 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Prosody and emotion: Towards the development of an emotional agent Emotional evaluation of news reports: production and perception experiments

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Liina Tumma; [2022-01-20]
    Nyckelord :emotion; speech; prosody;

    Sammanfattning : There is a recognised need for more research on the topic of emotion recognition from speech, and clear and defined methodology in this area is still lacking. Most studies in the field of emotional speech recognition and classification usually focus on acted speech as the data source; consequently, other methods that capture more natural speech are left aside. LÄS MER

  3. 2. Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Sandra Kandefelt; Sara Perklev; [2022]
    Nyckelord :machine learning; CTG; pattern recognition; labor; TOCO; FHR; Mathematics and Statistics;

    Sammanfattning : The main monitoring method during labor is cardiotocography, CTG, which measures the fetal heartbeat, FHR, as well as the uterine contractions, TOCO. The CTG is a valuable tool in assessing the fetal status and it is evaluated intermittently by clinicians during the progress of the labor. LÄS MER

  4. 3. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    Master-uppsats, KTH/Fastigheter och byggande

    Författare :Egil Morast; [2022]
    Nyckelord :Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Sammanfattning : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. LÄS MER

  5. 4. CLASSIFYING ANXIETY BASED ON A VOICERECORDING USING LEARNING ALGORITHMS

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

    Författare :Oscar Sherlock; Olle Rönnbäck; [2022]
    Nyckelord :ANN; CNN; Machine learning; Deep learning; ML; DL; Voice recognition; Anxiety;

    Sammanfattning : Anxiety is becoming more and more common, seeking help to evaluate your anxiety canfirst of all take a long time, secondly, many of the tests are self-report assessments that could cause incorrect results. It has been shown there are several voice characteristics that are affected in people with anxiety. LÄS MER

  7. 5. Machine Learning-based Biometric Identification

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Hanna Israelsson; Andreas Wrife; [2021]
    Nyckelord :Machine Learning; Biometric identification; Classification; Dataset expansion; Random forest;

    Sammanfattning : With the rapid development of computers andmodels for machine learning, image recognition has, in recentyears, become widespread in various areas. In this report, imagerecognition is discussed in relation to biometric identificationusing fingerprint images. LÄS MER