Interactivity Anomaly Detection in Remote Work Scenarios Using LSTM
Author:
Affiliation:
1. Department of Electrical, Electronic and Communications Engineering, Public University of Navarre, Arrosadia Campus, Pamplona, Spain
Funder
Spanish State Research Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10456766.pdf?arnumber=10456766
Reference55 articles.
1. On Design and Performance of Cloud-Based Distributed Interactive Applications
2. A cloud platform for real-time interactive applications;Menychtas
3. What Jobs are Being Done at Home During the COVID-19 Crisis? Evidence from Firm-Level Surveys
4. The co-evolution of remote work and expectations in a COVID-19 world utilizing an expectation disconfirmation theory lens
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