A sludge volume index (SVI) model based on the multivariate local quadratic polynomial regression method
Sign Up to like & getrecommendations! Published in 2017 at "Chinese Journal of Chemical Engineering"
DOI: 10.1016/j.cjche.2017.08.007
Abstract: Abstract In this study, a multivariate local quadratic polynomial regression (MLQPR) method is proposed to design a model for the sludge volume index (SVI). In MLQPR, a quadratic polynomial regression function is established to describe… read more here.
Keywords: multivariate local; polynomial regression; method; model ... See more keywords
Leader-follower congruence in proactive personality and work engagement: A polynomial regression analysis
Sign Up to like & getrecommendations! Published in 2017 at "Personality and Individual Differences"
DOI: 10.1016/j.paid.2016.09.033
Abstract: Abstract Integrating the theory of person-environment fit and job demands-resources model, this study explored the effects of congruence of proactive personalities of leaders and followers on follower work engagement. Dyadic data were collected from 100… read more here.
Keywords: work; work engagement; congruence proactive; proactive personalities ... See more keywords
Polynomial regression models to explain the relationship between network and service key performance indicators
Sign Up to like & getrecommendations! Published in 2017 at "IET Networks"
DOI: 10.1049/iet-net.2016.0121
Abstract: In the future networks, the level of quality of services (QoS) will be improved, new services will be introduced and the end users will enjoy everywhere and any time old and new services via fixed… read more here.
Keywords: relationship network; network; key performance; polynomial regression ... See more keywords
Evolutionary Polynomial Regression Algorithm Enhanced with a Robust Formulation: Application to Shear Strength Prediction of RC Beams without Stirrups
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000985
Abstract: AbstractMany classes of engineering problems focus on the process of calibrating mathematical models using observed data. The enormous progress of scientific computation and data-mining techniques ... read more here.
Keywords: evolutionary polynomial; regression algorithm; algorithm enhanced; robust formulation ... See more keywords
Polynomial Regression Predistortion for Phase Error Calibration in X-Band SAR
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3024600
Abstract: Predistortion is used to compensate for a waveform or phase of a signal in advance. Although the signal that applies predistortion exhibits a nonideal shape at the baseband, it has an improved phase value after… read more here.
Keywords: phase; predistortion; polynomial regression; phase error ... See more keywords
Evolutionary polynomial regression improved by regularization methods
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DOI: 10.1371/journal.pone.0282029
Abstract: Evolutionary polynomial regression (EPR) is a data mining tool that has been widely used in solving various geotechnical engineering problems. The fitness function is the core of EPR. However, overfitting may still occur in EPR,… read more here.
Keywords: regularization; polynomial regression; regularization methods; evolutionary polynomial ... See more keywords
Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater
Sign Up to like & getrecommendations! Published in 2020 at "Indonesian Journal of Chemistry"
DOI: 10.22146/ijc.52251
Abstract: Wastewater produced from the electroplating industry generally consists of heavy metals mixture and organic materials that need to be treated before it can be discharged to the environment. Thus, the present investigation was focused on… read more here.
Keywords: wastewater; heavy metal; removal heavy; metal mixtures ... See more keywords
Fog Removal by Multiple Polynomial Regression Model through Curvelets
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2017.1031.22
Abstract: Removal of fog in a Single Image has been a challenging task. Fog causes the visibility to drop thus causing problems for the sensors to capture the scene perfectly. In this work the fog is… read more here.
Keywords: regression model; model curvelets; multiple polynomial; model ... See more keywords