A Gradient Boosted Regression Tree Ensemble Model Using Wavelet Features for Post-acquisition Macromolecular Baseline Isolation from Brain MR Spectra

Sagar, Chiranjeev; Sharma, Neeraj

doi:10.1007/s00723-023-01537-8

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…In this experiment, partial least squares regression (PLSR) [28,29] and gradient boosting regression tree (GBRT) [30,31] algorithms were used to establish a quantitative prediction model of the iron content in pear peel and pulp. The PLSR algorithm has fewer sample requirements, can handle multi-faceted complex models, can process reflection indicators and formation indicators at the same time, and can realize multiple linear regression analyses, principal component analyses, and correlation analyses between two sets of variables at the same time, which is suitable for establishing predictive models.…”

Section: Establishment Of a Prediction Model For The Iron Content In ...mentioning

confidence: 99%

Quantitatively Determine the Iron Content in the Fruit of ‘Huangguan’ Pear Using Near-Infrared Spectroscopy

Fang

et al. 2023

Horticulturae

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‘Huangguan’ pear has excellent quality, strong adaptability, and good socioeconomic value. Iron is one of the important trace elements in plants, and iron imbalance seriously affects the growth and development of pear trees and reduces their economic benefits. If the iron content in pear fruit can be easily and non-destructively detected using modern technology during the critical period of fruit development, it will undoubtedly help guide actual production. In this study, ‘Huangguan’ pear fruit was used as the research object, and the possibility of using the more convenient near-infrared spectroscopy (900~1700 nm) technology for nondestructive detection of the iron content in the peel and pulp of ‘Huangguan’ pear was explored. First, 12 algorithms were used to preprocess the original spectral data, and based on the original and the preprocessed spectral data, partial least squares regression and gradient boosting regression tree algorithms were used. A full-band prediction model of the iron content in the peel and pulp of ‘Huangguan’ pear was established, and the genetic algorithm was used to extract characteristic wavelengths, establish a characteristic wavelength prediction model, and evaluate the prediction effect of each model according to the coefficient of determination R² and the relative analysis error RPD. After comparison, we found that the prediction model with the best prediction of the iron content in the peel and pulp of ‘Huangguan’ pear reaches class A, and the prediction effect is good and meets expectations. This experiment shows that the use of near-infrared spectroscopy can achieve better prediction of the iron content in the peel and pulp of ‘Huangguan’ pear.

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Section: Establishment Of a Prediction Model For The Iron Content In ...mentioning

confidence: 99%

Quantitatively Determine the Iron Content in the Fruit of ‘Huangguan’ Pear Using Near-Infrared Spectroscopy

Fang

et al. 2023

Horticulturae

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NMR in living systems

Prior

2024

Nuclear Magnetic Resonance

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This chapter reviews studies published during the period of May 2023 to April 2024 that have applied magnetic resonance spectroscopy to investigate processes occurring in living systems. In Section 1, new hardware, acquisition methods and analytical processes that are applicable to in vivo investigations are presented. Studies in pre-clinical models and the clinical environment are surveyed in Sections 2 and 3, respectively. The review in both these two sections is subdivided into physiological categories, with each of these sub-divided according to the category of disease or the type of metabolic investigation.

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A Gradient Boosted Regression Tree Ensemble Model Using Wavelet Features for Post-acquisition Macromolecular Baseline Isolation from Brain MR Spectra

Cited by 2 publications

References 35 publications

Quantitatively Determine the Iron Content in the Fruit of ‘Huangguan’ Pear Using Near-Infrared Spectroscopy

Quantitatively Determine the Iron Content in the Fruit of ‘Huangguan’ Pear Using Near-Infrared Spectroscopy

NMR in living systems

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