Record link: 
http://hdl.handle.net/20.500.12708/141516
-
Title: 
Machine Learning Meets Communication Networks: Current Trends and Future Challenges
en
Citation: 
Ahmad, I., Shahabuddin, S., Malik, H., Harjula, E., Leppänen, T., Loven, L., Anttonen, A., Sodhro, A. H., Alam, M. M., Juntti, M., Ylä-Jääski, A., Sauter, T., Gurtov, A., Ylianttila, M., & Riekki, J. (2020). Machine Learning Meets Communication Networks: Current Trends and Future Challenges. IEEE Access, 8, 223418–223460. https://doi.org/10.1109/access.2020.3041765
-
Publisher DOI: 
10.1109/access.2020.3041765
-
Publication Type: 
Article - Original Research Article
en
Language: 
English
-
Authors: 
Ahmad, Ijaz 
Shahabuddin, Shariar 
Malik, Hassan 
Harjula, Erkki 
Leppänen, Teemu 
Loven, Lauri 
Anttonen, Antti 
Sodhro, Ali Hassan 
Alam, Muhammad Mahtab 
Juntti, Markku 
Ylä-Jääski, Antti 
Sauter, Thilo 
Gurtov, Andrei 
Ylianttila, Mika 
Riekki, Jukka 
-
Organisational Unit: 
E384-01 - Forschungsbereich Software-intensive Systems 
-
Journal: 
IEEE Access 
-
ISSN: 
2169-3536
-
Date (published): 
2020
-
Number of Pages: 
43
-
Publisher: 
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
-
Peer reviewed: 
Yes
-
Keywords: 
Electrical and Electronic Engineering; General Computer Science; General Engineering; General Materials Science
-
Research Areas: 
Telecommunication: 100%
-
Science Branch: 
Elektrotechnik, Elektronik, Informationstechnik
-
Appears in Collections:
Article

Show full item record

Google ScholarTM

Check