Essays about: "Euclidean"
Showing result 21 - 25 of 101 essays containing the word Euclidean.
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21. AUGMENTATION AND CLASSIFICATION OF TIME SERIES FOR FINDING ACL INJURIES
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This thesis addresses the problem where we want to apply machine learning over a small data set of multivariate time series. A challenge when classifying data is when the data set is small and overfitting is at risk. Augmentation of small data sets might avoid overfitting. READ MORE
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22. Reliable graph predictions : Conformal prediction for Graph Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We have seen a rapid increase in the development of deep learning algorithms in recent decades. However, while these algorithms have unlocked new business areas and led to great development in many fields, they are usually limited to Euclidean data. READ MORE
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23. Gravitation in Lorentz and Euclidean Geometry
University essay from KTH/FysikAbstract : The aim of this work is to derive mathematical descriptions of gravitation. Postulating gravitation as a force field, Newton's law of gravitation is heuristically derived by considering linear differential operators invariant under euclidean isometries and by finding the fundamental solution to Helmholtz equation in three dimensions. READ MORE
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24. Applicability of Graph Neural Networks to predict Human variability in Human Body Model Rib Strain Predictions
University essay from Uppsala universitet/Statistik, AI och data scienceAbstract : Finite element human body models have in recent years become widely used in the area of vehicle safety evaluations. They make it possible to predict injury risk in specific areas, down to the organ level in the human body. An existing human body model, SAFER HBM includes a rib cage representing an average male. READ MORE
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25. LSTM Feature Engineering Through Time Series Similarity Embedding
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. READ MORE