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E-Health Telecommunication Systems and Networks
Submission
E-Health Telecommunication Systems and Networks
ISSN Print:
2167-9517
ISSN Online:
2167-9525
www.scirp.org/journal/etsn
E-mail:
etsn@scirp.org
Google-based Impact Factor:
1.29
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"
Mood States Recognition of Rowing Athletes Based on Multi-Physiological Signals Using PSO-SVM
"
written by
Jing Wang, Pei Lei, Kun Wang, Lijuan Mao, Xinyu Chai
,
published by
E-Health Telecommunication Systems and Networks
,
Vol.3 No.2, 2014
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
Mobiilipelien käyttö stressin lievitykseen
2022
[2]
PSIHOLOŠKI KORELATI SPORTSKOG POSTIGNUĆA MLADIH BOSANSKOHERCEGOVAČKIH PLIVAČA
2021
[3]
ANALISIS PERBANDINGAN ALGORITMA DECISION TREE DENGAN SUPPORT VECTOR MACHINE UNTUK MENDETEKSI KOMPETENSI MAHASISWA …
2019
[4]
Automated Mood-aware Engagement Prediction
2017
[5]
Performance assessment and prediction of football players: Tailoring an architecture with spatiotemporal positional and physiological features
Dissertation, Open Repository of the University of Porto
,
2017
[6]
Learning based visual engagement and self-efficacy
2017
[1]
Automated mood-aware engagement prediction
2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)
,
2017
DOI:
10.1109/ACII.2017.8273571
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