Essays about: "recurrent neural network"

Showing result 1 - 5 of 163 essays containing the words recurrent neural network.

  1. 1. Driver Behavior Classification in Electric Vehicles

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : FEDERICA COMUNI; CHRISTOPHER MÉSZÁROS; [2021-07-06]
    Keywords : Aggressive driver behavior; Driver behavior classification; Self-attention; Recurrence plots; active learning; Active deep dropout; Gradual pseudo labeling;

    Abstract : Studies have shown that driving style affects the energy consumption of electric vehicles, with aggressive driving consuming up to 30% more energy than moderate driving. Therefore, modeling of aggressive driving can provide a more precise estimation of the energy consumption and the remaining range of a vehicle. READ MORE

  2. 2. Sequential Anomaly Detection for Log Data Using Deep Learning

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Lina Hammargren; Wei Wu; [2021-06-14]
    Keywords : anomaly detection; recurrent neural network; long short-term memory; semi-supervised learning; seq2seq; transformer; unsupervised learning; log analysis;

    Abstract : AbstractSoftware development with continuous integration changes needs frequent testing forassessment. Analyzing the test output manually is time-consuming and automatingthis process could be beneficial to an organization. READ MORE

  3. 3. Predicting Road Rut with a Multi-time-series LSTM Model

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Henrik Backer-Meurke; Marcus Polland; [2021]
    Keywords : Multiple-multivariate time-series; Multi-time-series LSTM model; Recurrent Neural Networks; Machine Learning; Road rut forecasting;

    Abstract : Road ruts are depressions or grooves worn into a road. Increases in rut depth are highly undesirable due to the heightened risk of hydroplaning. Accurately predicting increases in road rut depth is important for maintenance planning within the Swedish Transport Administration. READ MORE

  4. 4. Application of Deep Q-learning for Vision Control on Atari Environments

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Jim Öhman; [2021]
    Keywords : Reinforcement learning; Atari 2600; Deep Q-learning; Myopic Agents; Vision Control; Physics and Astronomy;

    Abstract : The success of Reinforcement Learning (RL) has mostly been in artificial domains, with only some successful real-world applications. One of the reasons being that most real-world domains fail to satisfy a set of assumptions of RL theory. READ MORE

  5. 5. Homograph Disambiguation and Diacritization for Arabic Text-to-Speech Using Neural Networks

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Harm Lameris; [2021]
    Keywords : Computational Linguistics; Language Technology; Diacritization; Neural Networks; Deep Learning; Arabic; Natural Language Processing; NLP; Text-to-Speech; TTS; Homograph Disambiguation;

    Abstract : Pre-processing Arabic text for Text-to-Speech (TTS) systems poses major challenges, as Arabic omits short vowels in writing. This omission leads to a large number of homographs, and means that Arabic text needs to be diacritized to disambiguate these homographs, in order to be matched up with the intended pronunciation. READ MORE