Results 31 to 40 of about 7,064 (148)

PENERAPAN METODE PARTIAL LEAST SQUARE REGRESSION (PLSR) PADA KASUS SKIZOFRENIA

open access: yesE-Jurnal Matematika, 2021
Partial Least Square Regression (PLSR) is a method that combines principal component analysis and multiple linear regression, which aims to predict or analyze the dependent variable and more than one independent variable.
NI WAYAN ARI SUNDARI   +2 more
doaj   +1 more source

Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content

open access: yesAdvanced Science, EarlyView.
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri   +3 more
wiley   +1 more source

Predicting TBM penetration rate with the coupled model of partial least squares regression and deep neural network

open access: yesRock and Soil Mechanics, 2021
The scientific prediction of the TBM penetration rate is of great significance to the selection of hydraulic tunnel construction methods, construction schedule and cost estimation.
YAN Chang-bin   +5 more
doaj   +1 more source

Raman Analysis of RNA Nucleotide Strands From SARS‐CoV‐2 Variants and Subvariants: A Step Forward in the Definition of “Raman Genome”

open access: yesAdvanced Science, EarlyView.
Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti   +11 more
wiley   +1 more source

Estimation of chemical oxygen demand in different water systems by near-infrared spectroscopy

open access: yesEcotoxicology and Environmental Safety, 2022
To monitor environmental water pollution effectively and meet human water needs, it is crucial to develop a fast, simple, and accurate method for monitoring chemical oxygen demand (COD) in various water systems.
Xueqin Han   +7 more
doaj   +1 more source

Similar locomotor patterns across Quarter Horse disciplines inform lameness assessment

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Lineage‐based selection is central to the Quarter Horse industry and is often justified by the assumption that morphology determines locomotor function. However, objective evidence linking static conformation to discipline‐specific locomotor behaviour under standardised conditions remains limited.
Renata Farinelli de Siqueira   +4 more
wiley   +1 more source

Biosensors for Food Safety and Adulteration Monitoring: Applications, Smart Packaging Integration, and Pathways to Intelligent, Field‐Deployable Detection Systems

open access: yesFood Safety and Health, EarlyView.
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any   +7 more
wiley   +1 more source

Infrared Spectroscopic Predictions of Soil Properties for Agricultural Monitoring: Statistical and Soil Spectroscopic Considerations

open access: yesJournal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background: Pseudo‐independent validation (PIV) using regional datasets is common in visible‐to‐near‐infrared (vis–NIR) and mid‐infrared (MIR) spectroscopy studies and produces accurate predictions but is relevant only to regional‐scale monitoring of known sites.
Svenja Tauber   +2 more
wiley   +1 more source

Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging.

open access: yesPLoS ONE, 2019
Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant ...
Zhiying Long   +3 more
doaj   +1 more source

Comparison Study of Partial Least Squares Regression Analysis and Principal Component Analysis in Fast-Scan Cyclic Voltammetry

open access: yesInternational Journal of Electrochemical Science, 2019
Both principal component regression (PCR) and partial least squares regression (PLSR) have been commonly used to predict neurochemical concentrations from measurements of fast-scan cyclic voltammetry (FSCV).
Jaekyung Kim   +6 more
doaj   +1 more source

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