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Using the IBM SPSS SW Tool with Wavelet Transformation for CO₂ Prediction within IoT in Smart Home Care.

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第一作者： Jan,Vanus

第一单位： Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava 70800, Czech Republic. jan.vanus@vsb.cz.

作者： Jan,Vanus ^[1] ; Jan,Kubicek ^[2] ; Ojan M,Gorjani ^[3] ; Jiri,Koziorek ^[4]

作者单位： Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava 70800, Czech Republic. jan.vanus@vsb.cz. ^[1] Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava 70800, Czech Republic. jiri.koziorek@vsb.cz. ^[2] Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava 70800, Czech Republic. jan.kubicek@vsb.cz. ^[3] Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava 70800, Czech Republic. ojan.majidzadeh.gorjani@vsb.cz. ^[4]

关键词 Artificial Neural Network (ANN), Radial Basis Function (RBF), Wavelet Transformation (WT), SPSS (Statistical Package for the Social Sciences) IBM IoT (Internet of Things), Activities of Daily Living (ADL)monitoring prediction smart Home Care (SHC)trend detection

DOI 10.3390/s19061407

PMID 30901979

发布时间 2020-02-25

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准确一般字义偏差语意偏离译文作用小提交