Sökning: "computer network"

Visar resultat 1 - 5 av 922 uppsatser innehållade orden computer network.

  1. 1. Utvärdering av säkerheten hos smarta hem IoT-enheter

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Mohammed Ali Alatrash; [2024]
    Nyckelord :DoS-attack; IoT; MATTER; MIMT.; DoS-attack; IoT; MATTER; MIMT;

    Sammanfattning : Syftet med den här studien är att bedöma säkerheten och motståndskraften hos ett Matter-protokoll som används av ett multinationellt företag. Protokollet används för att möjliggöra kommunikation mellan en gateway och en applikation för styrning av smarta produkter. LÄS MER

  3. 2. Teaching pronunciation effectively in an EFL classroom; a literature review

    Uppsats för yrkesexamina på avancerad nivå, Malmö universitet/Institutionen för kultur, språk och medier (KSM)

    Författare :My Olsson; Alice Osborne; [2024]
    Nyckelord :effective teaching; English as a Foreign Language; intelligibility; secondary education; pronunciation;

    Sammanfattning : This study provides a literature review of the most effective ways to teach pronunciation to EFL secondary school students in Sweden. There is limited time allocated to pronunciation leading to a scarcity of available effective methods. This impacts the important role which intelligibility holds in pronunciation. LÄS MER

  4. 3. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  5. 4. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Erica Ingerstad; Liv Kåreborn; [2024]
    Nyckelord :NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Sammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER

  7. 5. An Empirical Survey of Bandits in an Industrial Recommender System Setting

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

    Författare :Tobias Schwarz; Johan Brandby; [2023-09-21]
    Nyckelord :computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

    Sammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER