Agreement between continuous noninvasive finger cuff-derived and invasive arterial blood pressure measurements: Effect of data sampling and data processing
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Anaesthesiology"
DOI: 10.1097/eja.0000000000001469
Abstract: Supplemental Digital Content is available in the text BACKGROUND The effect of different methods for data sampling and data processing on the results of comparative statistical analyses in method comparison studies of continuous arterial blood… read more here.
Keywords: data sampling; agreement; sampling data; effect ... See more keywords
Performance Analysis of Least Squares of Continuous-Time Model Based on Sampling Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3182040
Abstract: In this letter, we consider the parameter estimation problem of continuous-time linear stochastic regression models described by stochastic differential equations using the sampling data. An online least squares (LS) algorithm is proposed by minimizing the… read more here.
Keywords: sampling data; time; continuous time; performance analysis ... See more keywords
Jamming-Resilient Synchronization of Networked Lagrangian Systems With Quantized Sampling Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3148395
Abstract: A wide range of cyber–physical systems can be modeled as Euler–Lagrange dynamics, whose inherent nonlinearities bring additional difficulties in the design and analysis of controllers for such systems. The objective of this article is to… read more here.
Keywords: networked lagrangian; sampling data; lagrangian systems; resilient synchronization ... See more keywords
Three problems with the conventional delta-model for biomass sampling data, and a computationally efficient alternative
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Fisheries and Aquatic Sciences"
DOI: 10.1139/cjfas-2017-0266
Abstract: Ecologists often analyse biomass sampling data that result in many zeros, where remaining samples can take any positive real number. Samples are often analysed using a “delta model” that combines two separate generalized linear models,… read more here.
Keywords: delta model; biomass sampling; model; sampling data ... See more keywords
A Fusion Load Disaggregation Method Based on Clustering Algorithm and Support Vector Regression Optimization for Low Sampling Data
Sign Up to like & getrecommendations! Published in 2019 at "Future Internet"
DOI: 10.3390/fi11020051
Abstract: In order to achieve more efficient energy consumption, it is crucial that accurate detailed information is given on how power is consumed. Electricity details benefit both market utilities and also power consumers. Non-intrusive load monitoring… read more here.
Keywords: disaggregation; vector regression; support vector; load disaggregation ... See more keywords