Essays about: "digital context"
Showing result 1 - 5 of 875 essays containing the words digital context.
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1. Buildings in the Digital Era : An Explorative Study of Digital Twins in the Built Environment
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : In recent years, digital twins (DT) have gained traction in enhancing operation and maintenance procedures across various industrial sectors, such as manufacturing, energy, and aerospace. Yet their utilization remains more limited in the built environment. READ MORE
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2. Contextual Implications on Sustainable Entrepreneurship : a qualitative study on Food Waste Platforms contribution to reducing food waste in Sweden
University essay from SLU/Dept. of EconomicsAbstract : The global issue of food waste persists, with local digital solutions emerging to address aspects of this problem. Inspired by new economic models like the shared economy, Food waste platforms embody sustainable entrepreneurship. READ MORE
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3. User-Centered Design in Digital Twins : Insights Based on Industrial Designers’ Activities
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Digital twin is an emerging technology that enhances digital transformation across many industries and domains. Most digital twins are made for a work context, and end users are the domain experts who carry knowledge in the work processes and products of which digital twin is part. READ MORE
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4. 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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5. 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