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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.net/journal/etsn
E-mail:
[email protected]
Google-based Impact Factor:
1.56
Citations
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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]
Analisis Perbandingan Algoritma Decision Tree Dengan Support Vector Machine Untuk Mendeteksi Kompetensi Mahasiswa Konsentrasi Informatika …
JURNAL LENTERA ICT
,
2022
[3]
PSIHOLOŠKI KORELATI SPORTSKOG POSTIGNUĆA MLADIH BOSANSKOHERCEGOVAČKIH PLIVAČA
2021
[4]
ANALISIS PERBANDINGAN ALGORITMA DECISION TREE DENGAN SUPPORT VECTOR MACHINE UNTUK MENDETEKSI KOMPETENSI MAHASISWA …
2019
[5]
Automated Mood-aware Engagement Prediction
2017
[6]
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
[7]
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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