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Visar resultat 1 - 5 av 20 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Artificiell Intelligens : Den osäkra framtiden och riskerna med AI-teknologi.

    Kandidat-uppsats,

    Författare :Marcus Malmberg; Ludwig Carlsson; Wictor Skarp; [2023]
    Nyckelord :Artificial Intelligence; AI; Ethics; Uncertainty; Risks; Artificiell Intelligens; AI; Etik; Osäkerheter; Risker;

    Sammanfattning : Artificiell intelligens (AI) har fått en enorm uppmärksamhet på senare tid som en av de mest spännande teknologierna i vår tid. Men samtidigt har den också blivit en av de mest omdiskuterade teknologierna på grund av den osäkerhet och oro som omger dess utveckling. LÄS MER

  2. 2. A Comparison of CNN and Transformer in Continual Learning

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

    Författare :Jingwen Fu; [2023]
    Nyckelord :Convolutional Neural Network; Transformer; Continual Learning; Image Classification; Faltade Neurala Nätverk; Transformator; Kontinuerligt Lärande; Bildklassificering;

    Sammanfattning : Within the realm of computer vision tasks, Convolutional Neural Networks (CNN) and Transformers represent two predominant methodologies, often subject to extensive comparative analyses elucidating their respective merits and demerits. This thesis embarks on an exploration of these two models within the framework of continual learning, with a specific focus on their propensities for resisting catastrophic forgetting. LÄS MER

  3. 3. Integrating Telecommunications-Specific Language Models into a Trouble Report Retrieval Approach

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

    Författare :Nathan Bosch; [2022]
    Nyckelord :information retrieval; neural ranking; trouble reports; log analysis; natural language processing; informationssökning; neural rangordning; felrapporter; logganalys; naturlig språkbehandling;

    Sammanfattning : In the development of large telecommunications systems, it is imperative to identify, report, analyze and, thereafter, resolve both software and hardware faults. This resolution process often relies on written trouble reports (TRs), that contain information about the observed fault and, after analysis, information about why the fault occurred and the decision to resolve the fault. LÄS MER

  4. 4. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches

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

    Författare :Davit Soselia; [2022]
    Nyckelord :Deep Learning; Continual Learning; Catastrophic Forgetting; Biomedical Image Classification; Djup inlärning; kontinuerligt lärande; katastrofal glömska; biomedicinsk bildklassificering;

    Sammanfattning : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. LÄS MER

  5. 5. The intraspecific drought tolerance of Betula pendula Roth. : ecotypic aptitude as tree selection criteria for the urban landscape

    Master-uppsats, SLU/Dept. of Plant Breeding (from 130101)

    Författare :Simon Hannus; [2021]
    Nyckelord :Betula pendula; clinal variation; drought tolerance; ecosystem services; ecotypes; potential evapotranspiration; turgor loss point; urban forestry; urban resilience; urban tree selection;

    Sammanfattning : The ecosystem services provided by urban trees are substantial contributors to the quality of urban living, and their environmentally regulating capabilities are increasingly regarded as integral in order to efficiently secure urban resilience, by ameliorating the human and material impacts of extreme weather events. However, current trends of urban development presents challenges of how to preserve urban greenery ecosystem functioning, particularly in light of the ongoing climate change; which also has brought forth the importance of taxonomically diverse urban forests, to mitigate risks of catastrophic tree loss associated with these conditions. LÄS MER