Sökning: "Learning Classifier System"

Visar resultat 11 - 15 av 112 uppsatser innehållade orden Learning Classifier System.

  1. 11. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring

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

    Författare :Fredrik Gölman; [2023]
    Nyckelord :Knowledge base; Knowledge graph; Dialogue system; Chatbot; Electrical engineering; Education; Kunskapsbas; Kunskapsgraf; Dialogsystem; Chatbot; Elektroteknik; Utbildning;

    Sammanfattning : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. LÄS MER

  3. 12. A Comparative study of YOLO and Haar Cascade algorithm for helmet and license plate detection of motorcycles

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Anusha Jayasree Mavilla Vari Palli; Vishnu Sai Medimi; [2022]
    Nyckelord :Accuracy; Haar Cascade Classifier; Helmet Detection; License Plate Detection; YOLOv3 algorithm.;

    Sammanfattning : Background: Every country has seen an increase in motorcycle accidents over the years due to social and economic differences as well as regional variations in transportation circumstances. One common mode of transportation for those in the middle class is a motorbike.  Every motorbike rider is legally required to wear a helmet when driving a bike. LÄS MER

  4. 13. Head impact detection with sensor fusion and machine learning

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Aron Strandberg; [2022]
    Nyckelord :head impact detection; sensor fusion; 3D; machine learning; support vector machine; random forests;

    Sammanfattning : Head injury is common in many different sports and elsewhere, and is often associated with differentdifficulties. One major problem is to identify and value the injury or the severity. Sometimes there is no sign of head injury, but a serious neck distortion has occurred, causing similar symptoms as head injuries e.g. LÄS MER

  5. 14. Machine Learning for Classification of Temperature Controlled Containers Using Heavily Imbalanced Data

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

    Författare :Adam Ranjith; [2022]
    Nyckelord :Machine learning; Handling imbalanced data; Temperature controllable containers; Ensemble methods; Random forest.; Maskininlärning; Hantera obalanserad data; Temperatur reglerbara containrar; Meta-algoritmer; Random forest.;

    Sammanfattning : Temperature controllable containers are used frequently in order to transport pharmaceutical cargo all around the world. One of the leading manufacturing companies of these containers has a method for detecting containers with a faulty cooling system before making a shipment. LÄS MER

  7. 15. Root Cause Analysis and Classification for Firewall Log Events Using NLP Methods

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

    Författare :Tongxin Wang; [2022]
    Nyckelord :Log Analysis; BERT; Natural Language Processing; Log Classification; Transformers; Log Analysis; BERT; Naturligt språk-behandling; Log-Klassificering; Transformers;

    Sammanfattning : Network log records are robust evidence for enterprises to make error diagnoses. The current method of Ericsson’s Networks team for troubleshooting is mainly by manual observation. However, as the system is getting vast and complex, the log messages show a growth trend. LÄS MER