Sökning: "detection accuracy"

Visar resultat 1 - 5 av 887 uppsatser innehållade orden detection accuracy.

  1. 1. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement

    Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Författare :Kimon Letzner; [2024]
    Nyckelord :Disaster risk reduction; Participatory action research; Community risk mapping; International Red Cross Red Crescent Movement; Colombia; Technology and Engineering;

    Sammanfattning : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. LÄS MER

  3. 2. Visualization and analysis of object states using diffusion models and PyTorch

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

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  4. 3. Android Malware Detection Using Machine Learning

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Rahul Sai Kesani; [2024]
    Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

  5. 4. AI-based image generation: The impact of fine-tuning on fake image detection

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nick Hagström; Anders Rydberg; [2024]
    Nyckelord :Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

    Sammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER

  7. 5. Independent validation of a system for real-time localization of the prostate during motion tracking radiotherapy

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Klara Stefansson; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Intrafractional prostate motion during external beam radiotherapy of prostate tumors has been reported as a limiting factor in accurate treatment delivery. Technology for real-time image-guided radiotherapy has been introduced for tracking and for compensating prostate motion during treatment and could allow for reduced target margins. LÄS MER