Essays about: "Flow patterns"
Showing result 21 - 25 of 228 essays containing the words Flow patterns.
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21. Visual Rhythm in lighting design. How light patterns create atmosphere in a museum. V
University essay from KTH/LjusdesignAbstract : Studies indicate that incorporating light rhythms have the potential to generate an atmosphere of curiosity to further explore a space. In lighting design, we can describe rhythm as the ‘flow of light’ as the repetition of shadow, shading and highlight patterns of an illuminated three-dimensional surface that we experience in space when we walk through it. READ MORE
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22. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. READ MORE
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23. How an AI colleague affect the experiance of content creation
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : The consumers of today have become used to a constant flow of new content. Whether the content being music, film and series, games or other forms of media. This has created a strain on the developers and creators, to create new and original content for an ever demanding audience. Creating original content can be a costly and time consuming process. READ MORE
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24. Prediction and Analysis of 5G beyond Radio Access Network
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. READ MORE
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25. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE
