Results 41 to 50 of about 5,519 (170)
Abstract BACKGROUND Red wine is a high‐value grape derivative containing complex chemical compounds that dictate its quality. Qualitative and quantitative determination of these compounds is essential for standardizing and classifying the product. This proof‐of‐concept study integrates chemometric methods and machine learning algorithms to establish ...
Emirhan Atlayan +2 more
wiley +1 more source
Partial Least Squares Regression for Binary Data
Classical Partial Least Squares Regression (PLSR) models were developed primarily for continuous data, allowing dimensionality reduction while preserving relationships between predictors and responses. However, their application to binary data is limited.
Laura Vicente-Gonzalez +2 more
doaj +1 more source
Multivariate Methods Based Soft Measurement for Wine Quality Evaluation
Soft measurement is a new, developing, and promising industry technology and has been widely used in the industry nowadays. This technology plays a significant role especially in the case where some key variables are difficult to be measured by ...
Shen Yin +3 more
doaj +1 more source
The data presented in this article are related to the research article entitled “Application of Raman spectroscopy and chemometric techniques to assess sensory characteristics of young dairy bull beef” [1].
Ming Zhao +5 more
doaj +1 more source
A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang +5 more
wiley +1 more source
Ecological and genomic variation in ectomycorrhizal fungal exploration types
Summary Ectomycorrhizal fungi (EMF) produce mycelia with variable extension and complexity, which can be classified according to soil ‘exploration types’ (ETs). ETs have received attention as one of the few mycorrhizal trait frameworks, but without an empirical classification of ET functional diversity and environmental preferences, understanding and ...
Thomas M. Mansfield +55 more
wiley +1 more source
Maps of the estimated root nitrogen concentration in the < 0.5‐mm‐diameter classes of 20 woody species based on the imaging spectroscopy using the shortwave infrared spectral region. Summary Tree fine‐root morphological, anatomical, and chemical traits are important to reflect belowground resource acquisition strategies to support tree growth, but ...
Naoki Makita +2 more
wiley +1 more source
Miniaturized Near-Infrared Analyzer for Quantitative Detection of Trace Water in Ethylene Glycol
To address the limitations of a traditional Fourier-transform infrared (FTIR) spectrometer, including its bulky size, high cost, and unsuitability for on-site industrial detection, this study developed a Fourier-transform near-infrared (FT-NIR ...
Qunling Luo +4 more
doaj +1 more source
Nonuniform temperature and light relationships of moss‐associated nitrogen fixation across climates
Light, moisture, and temperature response of nitrogen fixation in moss–cyanobacteria associations across five climatically contrasting ecosystems. Responses of nitrogen fixation in moss–cyanobacteria associations to light (μmol photons m−2 s−1), moss relative water content (%), and temperature (°C) across five climatically contrasting ecosystems ...
Yunyao Ma, Kathrin Rousk
wiley +1 more source
Coal Quality Analysis Based on Laser-Induced Breakdown Spectroscopy
The study presents a novel approach that integrates laser-induced breakdown spectroscopy (LIBS) data with machine learning algorithms for the rapid evaluation of coal quality. The developed framework enables the determination of three critical parameters:
Rongzhou Zhang +8 more
doaj +1 more source

