Essays about: "concept prediction"
Showing result 1 - 5 of 99 essays containing the words concept prediction.
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1. Visualization and analysis of object states using diffusion models and PyTorch
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : 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. READ MORE
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2. Sensory : Designing an Ai-Powered Interactive Artefact for Managing Sensory Overload Experiences
University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Abstract : This project aims to explore how interactive technological artefacts can support young adults with sensory overload in their experiences. It intends to investigate the potential of carefully designing technologies tailored to the user's sensory needs of managing and reflecting on the sensory experience, and understanding their patterns. READ MORE
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3. Risk Assessment of Digital Assets – Insurance Applications in Cryptocurrencies and NFTs
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The aim of the project is to develop a framework for an insurance policy for digital assets. The project comprised several stages, starting with the identification of risks associated with these assets. Policyholders were then categorized into two groups based on a predefined rating factor. READ MORE
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4. Machine Learning based Predictive Data Analytics for Embedded Test Systems
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE
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5. Calculating Value-at-Risk under the G-Normal distribution. : Applied with Swedish data.
University essay from Uppsala universitet/Nationalekonomiska institutionenAbstract : Value–at–Risk (VaR) since its birth at JPMorgan in the 1990s, has become widely adopted by first and foremost the financial industry, but in later days regulatory authorities as a way of calculating downside risk. The subject in hand has led to numerous attempts by both the industry as well as scholars to find the perfect settings to calculate VaR. READ MORE