Essays about: "Generativa modeller"
Showing result 21 - 25 of 57 essays containing the words Generativa modeller.
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21. Generative Adversarial Networks for Vehicle Trajectory Generation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning models heavily rely on an abundance of data, and their performance is directly affected by data availability. In mobility pattern modeling, problems, such as next location prediction or flow prediction, are commonly solved using deep learning approaches. READ MORE
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22. Synthetic Graph Generation at Scale : A novel framework for generating large graphs using clustering, generative models and node embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to data augmentation of rare diseases in the brain, the ability to generate synthetic data has multiple applications in various domains. READ MORE
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23. Believable and Manipulable Facial Behaviour in a Robotic Platform using Normalizing Flows
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Implicit communication is important in interaction because it plays a role in conveying the internal mental states of an individual. For example, emotional expressions that are shown through unintended facial gestures can communicate underlying affective states. READ MORE
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24. Machine Learning Based Beam Tracking in mmWave Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The demand for high data rates communication and scarcity of spectrum in existing microwave bands has been the key aspect in 5G. To fulfill these demands, the millimeter wave (mmWave) with large bandwidths has been proposed to enhance the efficiency and the stability of the 5G network. READ MORE
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25. 3D Dose Prediction from Partial Dose Calculations using Convolutional Deep Learning models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, the problem of predicting the full dose distribution from a partially modeled dose calculation is addressed. Two solutions were studied: a vanilla Hierarchically Densely Connected U-net (HDUnet) and a Conditional Generative Adversarial Network (CGAN) with HDUnet as a generator. READ MORE
