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Ran Zhu et al.
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Henry Friday Nweke et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
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WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2018)
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JOURNAL OF SENSORS (2018)
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Yu Zhao et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2018)
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Bandar Almaslukh et al.
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Daniela Micucci et al.
APPLIED SCIENCES-BASEL (2017)
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2017 16TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) (2017)
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Charissa Ann Ronao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
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Francisco Javier Ordonez et al.
SENSORS (2016)
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Oresti Banos et al.
BIOMEDICAL ENGINEERING ONLINE (2015)
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Ferhat Attal et al.
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Yuqing Chen et al.
2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS (2015)
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