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   Articles with "polynomial regression" as a keyword



A sludge volume index (SVI) model based on the multivariate local quadratic polynomial regression method

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

Accurate modelling of lead (Pb) solid phase extraction using Multivariate Polynomial Regression (MPR)

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recommendations! Published in 2025 at "International Journal of Environmental Analytical Chemistry"

DOI: 10.1080/03067319.2025.2505938

Abstract: ABSTRACT The exponential growth in processing power, a characteristic of digital electronics, has made data science a significant research interest, with applications in almost all sectors. Multivariate Polynomial Regression (MPR), one of the most basic… read more here.

Keywords: chemistry; solid phase; regression mpr; multivariate polynomial ... See more keywords

Polynomial Regression Predistortion for Phase Error Calibration in X-Band SAR

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recommendations! 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

Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2023.3340219

Abstract: This paper proposes a new hybrid structure and microwave modeling method that combines polynomial regression with batch-normalized deep feedforward neural network (BN-DFN) to be used in high-dimensional microwave circuit modeling. Utilizing the proposed BN-DFN method… read more here.

Keywords: microwave modeling; dimensional microwave; high dimensional; dfn ... See more keywords

Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration

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recommendations! Published in 2024 at "Malaria Journal"

DOI: 10.1186/s12936-025-05526-z

Abstract: Malaria remains a significant public health challenge in many regions, necessitating robust predictive models to aid in its management and prevention. This study focuses on developing and evaluating time series models for forecasting malaria cases… read more here.

Keywords: forecasting malaria; time; indian states; time series ... See more keywords

Evolutionary polynomial regression improved by regularization methods

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recommendations! Published in 2023 at "PLOS ONE"

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

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recommendations! 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

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recommendations! 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