Essays about: "Hybrida Modeller"
Showing result 1 - 5 of 7 essays containing the words Hybrida Modeller.
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1. 3D Gaze Estimation on Near Infrared Images Using Vision Transformers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Gaze estimation is the process of determining where a person is looking, which has recently become a popular research area due to its broad range of applications. For example, tools that estimate gaze are used for research, medical diagnosis, virtual and augmented reality, driver assistance system, and many more. READ MORE
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2. Real-time refraction through multiple layers using image-space method with inline ray tracing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Although modern hardware allows us to use ray tracing in real-time, ray traced refractions are still demanding due to its need to generate multiple rays recursively in order to fully refract through a multi-layered object. With the recent release of inline ray tracing, it is possible to traverse and register ray hits inside a fragment shader. READ MORE
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3. Hybrid Ensemble Methods: Interpretible Machine Learning for High Risk Aeras
University essay from KTH/Matematisk statistikAbstract : Despite the access to enormous amounts of data, there is a holdback in the usage of machine learning in the Cyber Security field due to the lack of interpretability of ”Blackbox” models and due to heterogenerous data. This project presents a method that provide insights in the decision making process in Cyber Security classification. READ MORE
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4. Privacy-Preserving Sharing of Health Data using Hybrid Anonymisation Techniques : A Comparison
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data anonymisation is not a trivial task due to the challenge of balancing the trade-off between anonymity and data utility. A fairly new attempt to address this challenge is the development of hybrid anonymisation algorithms a combination of syntactic privacy models, often k-anonymity, and differential privacy. READ MORE
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5. Federated Learning for Time Series Forecasting Using Hybrid Model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Time Series data has become ubiquitous thanks to affordable edge devices and sensors. Much of this data is valuable for decision making. In order to use these data for the forecasting task, the conventional centralized approach has shown deficiencies regarding large data communication and data privacy issues. READ MORE
