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   Articles with "weighted linear" as a keyword



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Method Validation Using Normal and Weighted Linear Regression Models for Quantification of Pesticides in Mango (Mangifera indica L.) Samples

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recommendations! Published in 2018 at "Chromatographia"

DOI: 10.1007/s10337-018-3483-7

Abstract: A fast and efficient method was developed and validated for the determination of pesticides in mangos, which uses the QuEChERS citrate and gas chromatography–mass spectrometry (GC–MS) techniques. A detailed statistical analysis was performed to study… read more here.

Keywords: using normal; normal weighted; weighted linear; method validation ... See more keywords

Transient electromagnetic data denoising based on cluster analysis and locally weighted linear regression

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recommendations! Published in 2024 at "Geophysical Prospecting"

DOI: 10.1111/1365-2478.13625

Abstract: In transient electromagnetic surveys, the collected data inevitably contain noise originating from both natural and cultural sources. This noise has the potential to mask transient electromagnetic responses linked to geological features, thereby posing challenges in… read more here.

Keywords: electromagnetic data; locally weighted; weighted linear; linear regression ... See more keywords

FDA-MIMO Beampattern Synthesis with Hamming Window Weighted Linear Frequency Increments

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recommendations! Published in 2020 at "International Journal of Aerospace Engineering"

DOI: 10.1155/2020/4851909

Abstract: By utilizing a tiny frequency increment across the array elements, frequency diverse array (FDA) generates a beampattern possessing the property of range-angle-dependent. However, the beampattern of the conventional FDA is “S”-shaped, which means it is… read more here.

Keywords: window weighted; frequency; frequency increments; weighted linear ... See more keywords

Spectra estimation from raw camera responses based on adaptive local-weighted linear regression.

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recommendations! Published in 2019 at "Optics express"

DOI: 10.1364/oe.27.005165

Abstract: An improved spectral reflectance estimation method is developed to transform raw camera RGB responses to spectral reflectance. The novelty of our method is to apply a local weighted linear regression model for spectral reflectance estimation… read more here.

Keywords: raw camera; spectral reflectance; weighted linear; local weighted ... See more keywords