Sökning: "transfer learning"

Visar resultat 1 - 5 av 393 uppsatser innehållade orden transfer learning.

  1. 1. Bridging Sim-to-Real Gap in Offline Reinforcement Learning for Antenna Tilt Control in Cellular Networks

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

    Författare :Mayank Gulati; [2021]
    Nyckelord :reinforcement learning; transfer learning; simulation-to-reality; simulator; realworld; real-world network data; remote electrical tilt optimization; cellular networks; antenna tilt; network optimization.;

    Sammanfattning : Antenna tilt is the angle subtended by the radiation beam and horizontal plane. This angle plays a vital role in determining the coverage and the interference of the network with neighbouring cells and adjacent base stations. LÄS MER

  2. 2. Real-time hand segmentation using deep learning

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

    Författare :Federico Favia; [2021]
    Nyckelord :Hand Segmentation; Semantic Segmentation; Deep Learning; Convolutional Neural Networks; Real-time; Augmented Reality; Embedded Devices; Dataset; Transfer Learning; Handsegmentering; Semantisk Segmentering; Djupinlärning; Konvolutionsneurala Nätverk; Realtid; Förstärkt Verklighet; Inbäddade Enheter; Datauppsättning; Transferlärning;

    Sammanfattning : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. LÄS MER

  3. 3. Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Oskar Keding; David Ohlin; [2021]
    Nyckelord :Machine Learning; machine; learning; neural; network; statistics; EEG; emotion; semantic; emotional; signal; processing; reassignment; time-frequency; spectrogram; brain processing; bci; CNN; convolutional; Mathematics and Statistics;

    Sammanfattning : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. LÄS MER

  4. 4. Improving Biometric Log Detection with Partitioning and Filtering of the Search Space

    Magister-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Nijat Rajabli; [2021]
    Nyckelord :tree log tracking; tree log identification; cross-section segmentation; search space reduction; transfer learning;

    Sammanfattning : Tracking of tree logs from a harvesting site to its processing site is a legal requirement for timber-based industries for social and economic reasons. Biometric tree log detection systems use images of the tree logs to track the logs by checking whether a given log image matches any of the logs registered in the system. LÄS MER

  5. 5. Digital distansundervisning och GDPR : Särskilt om Zoom vid Sveriges universitet och högskolor efter Schrems II-målet

    Uppsats för yrkesexamina på grundnivå, Stockholms universitet/Juridiska institutionen

    Författare :Pontus Andersson Rosengren; [2021]
    Nyckelord :Zoom; Videokonferens; GDPR; IT-säkerhet; tredje land; tredjelandsöverföring; Schrems II; personuppgiftsbehandling; personlig integritet.;

    Sammanfattning : The ongoing Covid-19 pandemic has led to society being forced to switch to a digital presence, where physical meetings have been replaced by digital ones. For universities, this has meant that teaching and examinations have taken place through a special installation of the video conferencing service Zoom. LÄS MER