Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Modelling email traffic workloads with RNN and LSTM models

Saved in:
Bibliographic Details
Published in:Human-centric Computing and Information Sciences
Format: Online Article RSS Article
Published: 2020
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030187612536837
collection WordPress RSS
FRELIP Feed Integration
container_title Human-centric Computing and Information Sciences
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:13005
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
Computer Games
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Games
Technology & Engineering — Computing
Technology & Engineering
Computer Games
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Games
Technology & Engineering — Computing
Technology & Engineering
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 Computer Games
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1186/s13673-020-00242-w