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Modelling email traffic workloads with RNN and LSTM models

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Bibliographic Details
Published in:Human-centric Computing and Information Sciences
Format: Online Article RSS Article
Published: 2020
Subjects:
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container_title Human-centric Computing and Information Sciences
description
discipline_display e-Learning
discipline_facet e-Learning
format Online Article
RSS Article
genre Journal Article
id rss_article:57178
institution FRELIP
journal_source_facet Human-centric Computing and Information Sciences
publishDate 2020
publishDateSort 2020
record_format rss_article
spellingShingle Modelling email traffic workloads with RNN and LSTM models
e-Learning
General
e-Learning
sub_discipline_display General
sub_discipline_facet General
subject_display e-Learning
General
e-Learning
e-Learning
General
e-Learning
subject_facet e-Learning
General
e-Learning
title Modelling email traffic workloads with RNN and LSTM models
title_auth Modelling email traffic workloads with RNN and LSTM models
title_full Modelling email traffic workloads with RNN and LSTM models
title_fullStr Modelling email traffic workloads with RNN and LSTM models
title_full_unstemmed Modelling email traffic workloads with RNN and LSTM models
title_short Modelling email traffic workloads with RNN and LSTM models
title_sort modelling email traffic workloads with rnn and lstm models
topic e-Learning
General
e-Learning
url https://link.springer.com/article/10.1186/s13673-020-00242-w