Essays about: "Temporal Convolutional Network"
Showing result 21 - 25 of 62 essays containing the words Temporal Convolutional Network.
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21. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models
University essay from Linköpings universitet/DatorseendeAbstract : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. READ MORE
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22. Traffic Prediction From Temporal Graphs Using Representation Learning
University essay from KTH/Matematisk statistikAbstract : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. READ MORE
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23. Temporal Convolutional Networks in Lieu of Fuel Performance Codes : Conceptual Study Using a Cladding Oxidation Model
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : Fuel performance codes are used to demonstrate with confidencethat nuclear fuel rods will sustain normal operation and transientevents without being damaged. However, the execution time of a typ-ical fuel rod simulation ranges from tens of seconds to minutes which can be impractical in certain applications. READ MORE
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24. Synthesis of sequential data
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Good generative models for short time series data exist and have been applied for both data augmentation and privacy protection purposes in the past. A common theme for existing generative models is that they all use a recurrent neural network (RNN) architecture, which makes the models limited regarding the length of the sequences. READ MORE
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25. Estimating Football Position from Context
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Tracking algorithms provide the model to recognize objects’ motion in the past. Moreover, applied to an artificial intelligence algorithm, these algorithms allow, to some degree, the capacity to forecast the future position of an object. READ MORE