Sökning: "Singular Value Decomposition"

Visar resultat 1 - 5 av 53 uppsatser innehållade orden Singular Value Decomposition.

  1. 1. Using search based methods for beamforming

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Adam Bergman Karlsson; [2024]
    Nyckelord :Beamforming; Artificial Intelligence; AlphaZero; Radio Resource Management; Monte Carlo Tree Search;

    Sammanfattning : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. LÄS MER

  3. 2. Recommender Systems Using Limited Dataset Sizes

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

    Författare :Carl Bentzer; Harry Thulin; [2023]
    Nyckelord :;

    Sammanfattning : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. LÄS MER

  4. 3. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fredrik Kortetjärvi; Rohullah Khorami; [2023]
    Nyckelord :Graph Neural Network;

    Sammanfattning : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. LÄS MER

  5. 4. Ingredient-based Group Recommender for Recipes (IGR2)

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :John Lindblad; Jonas Meddeb; [2022-02-16]
    Nyckelord :recommender systems; data science; user-generated content; contentbased filtering; singular value decomposition; recipes; food; group recommender systems;

    Sammanfattning : The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less happiness. LÄS MER

  7. 5. Evaluation of non-stationary signal processing methods for binary EEG classification

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Amanda Ledell; [2022]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Electroencephalogram (EEG) measurements are notoriously noisy and non-stationary and there are several specialized techniques for their analysis and interpretation. In this thesis, we implement a collection of stationary and non-stationary methods including coherence, Phase Locking Value (PLV), Phase Lag Index (PLI), and their imaginary counterparts. LÄS MER