Results 21 to 30 of about 5,862,641 (174)

Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method [PDF]

open access: yesRevista Brasileira de Ciência do Solo, 2023
Soil organic carbon (SOC) content is a critical parameter for evaluating soil health. However, high redundancy and invalid information in soil hyperspectral data can reduce the accuracy and stability of SOC prediction models.
Baoyang Liu   +3 more
doaj   +1 more source

Characteristic Analysis and Prediction of Rainfall and Runoff in Ankang Section of Hanjiang River Basin

open access: yesRenmin Zhujiang, 2021
Accurate runoff simulation plays a very important role in the planning and management of water resources.However,traditional methods have some limitations in the simulation of runoff near peaks and abrupt points.This paper identifies the abrupt change ...
LIU Yiwen   +3 more
doaj  

MULTICOMPONENT SPECTROPHOTOMETRIC METHOD FOR SIMULTANEOUS ANALYSIS OF DELAPRIL AND INDAPAMIDE IN TABLETS

open access: yesDrug Analytical Research, 2017
A multicomponent ultraviolet (UV) spectrophotometric method was developed and validated for simultaneous determination of delapril (DEL) and indapamide (IND) in tablets employing the partial least squares regression (PLSR) approach.
Vitor Todeschini   +4 more
doaj   +9 more sources

A robust partial least squares method with applications [PDF]

open access: yes, 2007
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Romera, Rosario   +2 more
core   +1 more source

Feature Selection Using iPLS Combined with iNSGA-III for Near-Infrared Spectroscopic Determination of the Acidity of Huangshui, a By-product of Chinese Baijiu Production [PDF]

open access: yesShipin Kexue
To address the inefficiency and complexity of traditional chemical methods for measuring the acidity of Huangshui (HS), this study proposed a rapid and non-destructive detection approach using near-infrared (NIR) spectroscopy combined with partial least ...
ZHANG Guiyu, XIANG Xingrui, ZHANG Lei, WANG Yibo, YAN Jun, ZHANG Yunlong
doaj   +1 more source

Study of PLSR-BP model for stability assessment of loess slope based on particle swarm optimization

open access: yesScientific Reports, 2021
The assessment of loess slope stability is a highly complex nonlinear problem. There are many factors that influence the stability of loess slopes. Some of them have the characteristic of uncertainty. Meanwhile, the relationship between different factors
Bin Gong
doaj   +1 more source

Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves

open access: yesFrontiers in Plant Science, 2022
Leaf nitrogen concentration (LNC) is a critical indicator of crop nutrient status. In this study, the feasibility of using visible and near-infrared spectroscopy combined with deep learning to estimate LNC in cotton leaves was explored.
Qinlin Xiao   +13 more
doaj   +1 more source

Prediction of beef marblingusing Hyperspectral Imaging (HSI) and Partial Least Squares Regression (PLSR)

open access: yesScientia Agropecuaria, 2017
The aim of this study was to build a model to predict the beef marbling using HSI and Partial Least Squares Regression (PLSR). Totally 58 samples of longissmus dorsi muscle were scanned by a HSI system (400 - 1000 nm) in reflectance mode,
Victor Aredo   +2 more
doaj   +2 more sources

Quantitative analysis and resolution of pharmaceuticals in the environment using multivariate curve resolution-alternating least squares (MCR-ALS)

open access: yesActa Pharmaceutica, 2019
The study presents the application of multivariate curve resolution alternating least squares (MCR-ALS) with a correlation constraint for simultaneous resolution and quantification of ketoprofen, naproxen, paracetamol and caffeine as target analytes and ...
Mostafa Ahmed, Shaaban Heba
doaj   +1 more source

Non-destructive prediction of yak meat freshness indicator by hyperspectral techniques in the oxidation process

open access: yesFood Chemistry: X, 2023
This study examined the potential of hyperspectral techniques for the rapid detection of characteristic indicators of yak meat freshness during the oxidation of yak meat.
Kai Dong   +7 more
doaj   +1 more source

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