Essays about: "Digital detection"
Showing result 1 - 5 of 216 essays containing the words Digital detection.
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1. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : 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. READ MORE
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2. AI-based image generation: The impact of fine-tuning on fake image detection
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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. READ MORE
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3. The use of regurgitated pellets from the great cormorant to detect the presence of the round goby
University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskapAbstract : The round goby (Neogobius melanostomus) is an invasive alien species that poses one of the greatest threats to biodiversity and ecosystem services in Sweden today. The round goby originates from the Black Sea and Caspian Sea but has in recent decades rapidly spread with global shipping traffic to new areas in Europe and North America. READ MORE
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4. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. READ MORE
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5. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE