Essays about: "RNN"
Showing result 16 - 20 of 159 essays containing the word RNN.
-
16. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. READ MORE
-
17. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. READ MORE
-
18. 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
-
19. Creating a Virtual Tyre Temperature Sensor
University essay from Lunds universitet/Matematisk statistikAbstract : To accurately determine the efficiency and range of an electric vehicle, one must be able to estimate the rolling resistance of the car. This is currently done using standardized methods developed under laboratory settings, where transient aspects and effects of varying temperatures are excluded. READ MORE
-
20. Learning Based Road Estimation
University essay from Lunds universitet/Matematik LTHAbstract : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. READ MORE