Essays about: "Attention LSTM"
Showing result 1 - 5 of 37 essays containing the words Attention LSTM.
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1. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. READ MORE
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2. Temporal Localization of Representations in Recurrent Neural Networks
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : Recurrent Neural Networks (RNNs) are pivotal in deep learning for time series prediction, but they suffer from 'exploding values' and 'gradient decay,' particularly when learning temporally distant interactions. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) have addressed these issues to an extent, but the precise mitigating mechanisms remain unclear. READ MORE
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3. Evaluating machine learning models for time series forecasting in smart buildings
University essay from KTH/Hälsoinformatik och logistikAbstract : Temperature regulation in buildings can be tricky and expensive. A common problem when heating buildings is that an unnecessary amount of energy is supplied. This waste of energy is often caused by a faulty regulation system. READ MORE
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4. 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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5. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. READ MORE