Sökning: "Network Optimization"

Visar resultat 21 - 25 av 562 uppsatser innehållade orden Network Optimization.

  1. 21. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

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

    Författare :Jiaming Huang; [2023]
    Nyckelord :;

    Sammanfattning : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. LÄS MER

  3. 22. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces

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

    Författare :Zhenyu Li; [2023]
    Nyckelord :mmWave Communication; Reconfigurable Intelligent Surface; Ray Tracing; Indoor Dense Spaces;

    Sammanfattning : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. LÄS MER

  4. 23. Designing and evaluating distribution networks for luxury beds : A case study of Hästens Beds’ European distribution from the perspective of cost and delivery service

    Master-uppsats, Linköpings universitet/Logistik- och kvalitetsutveckling

    Författare :Sebastian Huss; Arvid Normann; [2023]
    Nyckelord :distribution; distribution network design; transport minimization; network structure; network optimization; decentralization; facility location; center of gravity;

    Sammanfattning : Hästens Beds is a Swedish luxury bed manufacturer, located in Köping, Sweden. They have a strong global presence, with Europe being the most mature and proven market. LÄS MER

  5. 24. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    Master-uppsats, KTH/Fysik

    Författare :Jeanette Marie Victoria Skeppland Hole; [2023]
    Nyckelord :ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Sammanfattning : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). LÄS MER

  7. 25. Explainable AI for Multi-Agent Control Problem

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

    Författare :Hanna Prokopova; [2023]
    Nyckelord :;

    Sammanfattning : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. LÄS MER