Sökning: "Head models"

Visar resultat 1 - 5 av 151 uppsatser innehållade orden Head models.

  1. 1. Vertical movement asymmetries in 3-year-old SWB horses and their associations with scores in Young Horse Tests

    Master-uppsats, SLU/Dept. of Anatomy, Physiology and Biochemistry

    Författare :Anna Kallings Larsson; [2024]
    Nyckelord :orthopaedic health; objective gait assessment; conformation; linear profiling; movement asymmetry; artificial intelligence; computer vision; Swedish Warmblood;

    Sammanfattning : To improve equine performance and welfare, many attempts have been made to investigate associations between performance, longevity, orthopaedic health, conformation and talent. Causal relationships between these qualities supported by strong scientific evidence are lacking. LÄS MER

  3. 2. Implementation and Comparative Analysis of Head-Related and Binaural Room Impulse Response in a Mid-Side Decomposition

    Master-uppsats, KTH/Teknisk akustik

    Författare :Jonathan Ling; [2023]
    Nyckelord :Master’s Thesis; Spatial audio; Sound Externalisation; Binaural recording; Headphones; Mid-Side Processing; Masteruppsats; Rumsligt Ljud; Ljud-externalisation; Binaural Inspelning; Hörlurar; Mid-Sid processering;

    Sammanfattning : This thesis aimed to clarify the essential factors involved in externalising audio over headphones. Extensive research was conducted, examining binaural cues and the latest advancements in the field. A novel approach was proposed, which applied HRIRs and BRIRs on a Mid-Side decomposition. LÄS MER

  4. 3. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Rafi Khaliqi; Cozma Iulian; [2023]
    Nyckelord :Deep learning; attention mechanism; vehicle fault detection; CNN; Bi-LSTM; Bi-GRU; Supervised classification;

    Sammanfattning : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. LÄS MER

  5. 4. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

    Författare :Serhat Bulun; [2023]
    Nyckelord :;

    Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER

  7. 5. Head-to-head Transfer Learning Comparisons made Possible : A Comparative Study of Transfer Learning Methods for Neural Machine Translation of the Baltic Languages

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Mathias Stenlund; [2023]
    Nyckelord :machine translation; transfer learning; Latvian; Lithuanian; low-resource languages; transformers; parent language; child language; comparative study;

    Sammanfattning : The struggle of training adequate MT models using data-hungry NMT frameworks for low-resource language pairs has created a need to alleviate the scarcity of sufficiently large parallel corpora. Different transfer learning methods have been introduced as possible solutions to this problem, where a new model for a target task is initialized using parameters learned from some other high-resource task. LÄS MER