Results 41 to 50 of about 561,044 (162)
Energy Science & EngineeringWater desalination plants are significant consumers of electric power, making them some of the largest energy users in power grids. Their electricity consumption presents an urgent challenge for efficient and sustainable operation, and they are among the
Hasnaa M. El‐Arwash +3 more
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RESEARCH ON PM2.5 CONCENTRATION COMBINATION FORECASTING MODEL BASED ON COR-SVM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 PM2.5 is a pollutant that can enter the lungs, threatening human health and affecting people’s living and traveling. In this paper, we use multivariate linear regression, support vector machine and their combined prediction method to predict the ...
X. Y. Feng, P. Tian, Y. J. Shi, M. Zhang
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Applied Sciences, 2017 Because both the inner and outer rings rotate, the intershaft bearings used in gas turbines do not have fixed bearing housings. As a result, the vibration of intershaft bearings cannot be measured directly.
Zhinong Jiang +3 more
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Thermal error compensation method of truss robot beam structure based on mechanism and data drive
International Journal of Advanced Robotic Systems, 2023 As the main supporting component of the truss robot, the thermal deformation of the beam often has a great influence on the overall thermal error of the truss robot due to its large span.
Long Li +3 more
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A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification
IEEE Journal of Translational Engineering in Health and Medicine, 2015 In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain-computer interface (BCI).
Hamza Baali +3 more
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Linear prediction: mathematics and engineering
Bulletin of the Belgian Mathematical Society - Simon Stevin, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bultheel, Adhemar, Van Barel, Marc
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Nonlinear Effects of the LMS Adaptive Predictor for Chirped Input Signals
EURASIP Journal on Advances in Signal Processing, 2002 This paper investigates the nonlinear effects of the Least Mean Square (LMS) adaptive predictor. Traditional analysis of the adaptive filter ignores the statistical dependence among successive tap-input vectors and bounds the performance of the adaptive
Han Jun, Zeidler James R, Ku Walter H
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Linear Quadratic Feasible Predictive Control
Automatica, 1998 A linear quadratic feasible predictive control (LQFPC) algorithm is proposed. The LQFPC gives comparable performance to the recently developed linear quadratic constrained predictive control (LQCPC) and linear quadratic infinite horizon predictive control (LQIHPC) algorithms.
Kouvaritakis, B, Rossiter, J, Cannon, M
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Formant Tracking by Combining Deep Neural Network and Linear Prediction
IEEE Open Journal of Signal ProcessingFormant tracking is an area of speech science that has recently undergone a technology shift from classical model-driven signal processing methods to modern data-driven deep learning methods.
Sudarsana Reddy Kadiri +5 more
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Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction
Frontiers in Genetics, 2018 A widely used method for prediction of complex traits in animal and plant breeding is “genomic best linear unbiased prediction” (GBLUP). In a quantitative genetics setting, BLUP is a linear regression of phenotypes on a pedigree or on a genomic ...
Daniel Gianola +7 more
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