Wavelet-Based Filtration Procedure for Denoising the Predicted CO2 Waveforms in Smart Home within the Internet of Things
暂无分享,去创建一个
Jan Kubicek | Martin Augustynek | Jan Vanus | Klara Fiedorova | Ojan Majidzadeh Gorjani | J. Vanus | J. Kubícek | M. Augustynek | Klara Fiedorova | O. Gorjani
[1] Fardin Abdali Mohammadi,et al. 12 Lead Electrocardiography Signals Compression by a New Genetic Programming Based Mathematical Modeling Algorithm , 2019, Biomed. Signal Process. Control..
[2] G. Lewicki,et al. Approximation by Superpositions of a Sigmoidal Function , 2003 .
[3] Marcin Wozniak,et al. A Multi-Agent Gamification System for Managing Smart Homes , 2019, Sensors.
[4] Gautam Srivastava,et al. A Decentralized Privacy-Preserving Healthcare Blockchain for IoT , 2019, Sensors.
[5] Xiaodong Li,et al. Modeling of a permeate flux of cross-flow membrane filtration of colloidal suspensions: A wavelet network approach , 2009 .
[6] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[7] Elham Heidari,et al. Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN) , 2016 .
[8] Jalal M. Fadili,et al. Classical low-pass filter and real-time wavelet-based denoising technique implemented on a DSP: a comparison study , 2002 .
[9] Jan Nedoma,et al. The design of an indirect method for the human presence monitoring in the intelligent building , 2018, Human-centric Computing and Information Sciences.
[10] Oguz Kaynar,et al. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils , 2010, Expert Syst. Appl..
[11] Michael X Cohen,et al. Comparison of linear spatial filters for identifying oscillatory activity in multichannel data , 2016, Journal of Neuroscience Methods.
[12] Vince D. Calhoun,et al. Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior , 2018, Front. Hum. Neurosci..
[13] Ming Liang,et al. Generalized adaptive mode decomposition for nonstationary signal analysis of rotating machinery: Principle and applications , 2020 .
[14] Min Bai,et al. Seismic noise attenuation based on waveform classification , 2019, Journal of Applied Geophysics.
[15] Mohammad Ali Ahmadi,et al. ANN-Based Prediction of Laboratory-Scale Performance of CO2-Foam Flooding for Improving Oil Recovery , 2019, Natural Resources Research.
[16] E. L. Lehmann,et al. Theory of point estimation , 1950 .
[17] Yanqin Fan,et al. Identification and wavelet estimation of weighted ATE under discontinuous and kink incentive assignment mechanisms , 2019, Journal of Econometrics.
[18] Yoshua Bengio,et al. Pattern Recognition and Neural Networks , 1995 .
[19] D. Bastos,et al. Internet of Things: A survey of technologies and security risks in smart home and city environments , 2018, IoT 2018.
[21] Jan Vanus. Using of the Adaptive Noise Cancellation for Voice Communication with the Control System , 2011, Int. J. Comput. Sci. Appl..
[22] Yuji Ijiri,et al. The Linear Aggregation Coefficient as the Dual of the Linear Correlation Coefficient , 1968 .
[23] Jan Nedoma,et al. Utilization of the LMS Algorithm to Filter the Predicted Course by Means of Neural Networks for Monitoring the Occupancy of Rooms in an Intelligent Administrative Building , 2018 .
[24] Marek Penhaker,et al. Using Wavelet Transformation for Prediction CO2 in Smart Home Care Within IoT for Monitor Activities of Daily Living , 2019, ICCCI.
[25] Jan Vanus,et al. Design of Smart Home Implementation within IoT with Natural Language Interface , 2018 .
[26] Jan Va uš,et al. APPLICATION OF VARIATIONS OF THE LMS ADAPTIVE FILTER FOR VOICE COMMUNICATIONS WITH CONTROL SYSTEM , 2010 .
[27] Shanlin Kang,et al. Application of signal processing and neural network for transient waveform recognition in power system , 2010, 2010 Chinese Control and Decision Conference.
[28] Daniel Strömbergsson,et al. Mother wavelet selection in the discrete wavelet transform for condition monitoring of wind turbine drivetrain bearings , 2019, Wind Energy.
[29] Jirí Koziorek,et al. Using the IBM SPSS SW Tool with Wavelet Transformation for CO2 Prediction within IoT in Smart Home Care , 2019, Sensors.
[30] Mohiuddin Ahmad,et al. Selecting the optimal conditions of Savitzky–Golay filter for fNIRS signal , 2019, Biocybernetics and Biomedical Engineering.
[31] Radek Martinek,et al. Development of Software Tool for Operational and Technical Functions Control in the Smart Home with KNX technology , 2016 .
[32] Marcel Fajkus,et al. Smart Home room's occupancy monitoring using Fiber Bragg grating sensor , 2019, Optics + Optoelectronics.
[33] A. Ghanbarzadeh,et al. The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data , 2010 .
[34] Narayan P Subramaniyam,et al. Waveform complexity: A new metric for EEG analysis , 2019, Journal of Neuroscience Methods.
[35] Jungpil Shin,et al. Genetic Algorithm Based Optimal Feature Selection Extracted by Time-Frequency Analysis for Enhanced Sleep Disorder Diagnosis Using EEG Signal , 2019, IntelliSys.
[36] Ravin N. Deo,et al. Denoising time-domain induced polarisation data using wavelet techniques , 2016 .
[37] Jan Nedoma,et al. Monitoring of the daily living activities in smart home care , 2017, Human-centric Computing and Information Sciences.
[38] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[39] J. Orbach. Principles of Neurodynamics. Perceptrons and the Theory of Brain Mechanisms. , 1962 .
[40] Taleb Zarei,et al. Predicting the water production of a solar seawater greenhouse desalination unit using multi-layer perceptron model , 2019, Solar Energy.
[41] Alireza Baghban,et al. Phase behavior modelling of asphaltene precipitation utilizing MLP-ANN approach , 2017 .
[42] Jan Vanus,et al. Application of optimal settings of the LMS adaptive filter for speech signal processing , 2010, Proceedings of the International Multiconference on Computer Science and Information Technology.
[43] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[44] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[45] Jan Vanus,et al. Novel Proposal for Prediction of CO2 Course and Occupancy Recognition in Intelligent Buildings within IoT , 2019, Energies.
[46] Michael X Cohen. A better way to define and describe Morlet wavelets for time-frequency analysis , 2018 .
[47] J. Vivier,et al. A New Artificial Network Approach for Membrane Filtration Simulation , 2012 .
[48] L. Ye,et al. An intelligent signal processing and pattern recognition technique for defect identification using an active sensor network , 2004 .
[49] Chi Zhang,et al. Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition , 2020, Comput. Methods Programs Biomed..
[50] Radek Martinek,et al. New method for accurate prediction of CO2 in the Smart Home , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.
[51] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .
[52] Dawid Połap,et al. Analysis of Skin Marks Through the Use of Intelligent Things , 2019, IEEE Access.
[53] Kandarpa Kumar Sarma,et al. Image texture classification using Artificial Neural Network (ANN) , 2011, 2011 2nd National Conference on Emerging Trends and Applications in Computer Science.
[54] Sergii Babichev,et al. Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis , 2019, ISDMCI.
[55] Javier Criado,et al. Emulating home automation installations through component-based web technology , 2017, Future Gener. Comput. Syst..
[56] Amin Bemani,et al. Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN , 2018 .