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Journal of the convergence on culture technology : JCCT = 문화기술의 융합, v.8 no.6, 2022년, pp.899 - 904
박진수 (한국전자기술연구원 스마트가전혁신지원센터) , 정지성 (한국전자기술연구원 스마트가전혁신지원센터) , 양철승 (한국전자기술연구원 스마트가전혁신지원센터) , 이정기 (한국전자기술연구원 스마트가전혁신지원센터)
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As the world becomes an aging society due to a decrease in the birth rate and an increase in life expectancy, a system for health management of the elderly population is needed. Among them, various studies on occupancy and activity types are being conducted for smart home care services for indoor he...
Hwang, Jung-Hyun..An Analysis of the Research and Policy on the Smart Home Design for the Elderly based on the U-Healthcare.JOURNAL OF THE ARCHITECTURAL INSTITUTE OF KOREA Planning & Design,31(4),53-60, 2015. DOI:10.5659/JAIK_PD.2015.31.4.53
MARTIN, Suzanne, et al. Smart home technologies for health and social care support. Cochrane database of systematic reviews, 2008, 4. DOI: 10.1002/14651858.CD006412.pub2
F. Wahl, M. Milenkovic, and O. Amft, "Adistributed PIR-based approach for estimating people count in office environments", IEEE 15th International Conference on Computational Science and Engineering, pp. 640-647, 2012.DOI: 10.1109/ICCSE.2012.92
SLOBOGIN, Christopher. Public privacy: camera surveillance of public places and the right to anonymity. Miss. lJ, 2002, 72: 213. DOI:10.2139/ssrn.364600
BIAU, Gerard; SCORNET, Erwan. A randomforest guided tour. Test, 2016, 25.2: 197-227. DOI:10.48550/arXiv.1511.05741
J. D. Suh, "Foreign Exchange Rate Forecasting Using the GARCH extended Random Forest Model", Journal of Industrial Economics and Business, Vol. 29, no. 5, pp. 1607-1628, 2016.
A. M. Prasad, L. R. Iverson, and A. Liaw, "Newer classification and regression tree techniques: bagging and random forests for ecological prediction," Ecosystems, Vol. 9, pp. 181-199, 2006. DOI:10.1007/s10021-005-0054-1
YU, Yong, et al. A review of recurrent neural networks: LSTM cells and network architectures. Neural computation, 2019, 31.7: 1235-1270. DOI:10.1162/neco_a_01199
DEY, Rahul; SALEM, Fathi M. Gate-variants of gated recurrent unit (GRU) neural networks. In: 2017 IEEE 60th international midwest symposium on circuits and systems (MWSCAS). IEEE, 2017. p. 1597-1600. DOI:10.1109/MWSCAS.2017.8053243
TEBALDI, Claudia; KNUTTI, Reto. The use of the multi-model ensemble in probabilistic climate projections. Philosophical transactions of the royal society A: mathematical, physical and engineering sciences, 2007, 365.1857: 2053-2075. DOI:10.1098/rsta.2007.2076
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