New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Molecular Modeling"
DOI: 10.1007/s00894-017-3444-3
Abstract: AbstractThe treatment of neuropathic pain is very complex and there are few drugs approved for this purpose. Among the studied compounds in the literature, sigma-1 receptor antagonists have shown to be promising. In order to… read more here.
Keywords: multivariate models; consensus; mlp ann; sigma receptor ... See more keywords
Multivariate models for predicting glacier termini
Sign Up to like & getrecommendations! Published in 2017 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-017-7135-2
Abstract: Concerns over the rapid retreat rates of mountain glaciers have been rising as global temperatures have continued to increase. The extent of variation in the retreat of mountain glaciers can provide information about changes to… read more here.
Keywords: mountain glaciers; glacier termini; multivariate models; retreat ... See more keywords
Development and Validation of Multivariate Models Integrating Preoperative Clinicopathological Parameters and Radiographic Findings Based on Late Arterial Phase CT Images for Predicting Lymph Node Metastasis in Gastric Cancer.
Sign Up to like & getrecommendations! Published in 2021 at "Academic radiology"
DOI: 10.1016/j.acra.2021.01.011
Abstract: RATIONALE AND OBJECTIVES To develop and validate multivariate models integrating endoscopic biopsy, tumor markers, computed tomography (CT) morphological characteristics based on late arterial phase (LAP), and CT value-related and texture parameters to predict lymph node… read more here.
Keywords: multivariate models; multivariate; metastasis; based late ... See more keywords
A simple-to-use nomogram for reference evapotranspiration assessment using multivariate models: Study on outdoor and greenhouse environments
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Technology and Innovation"
DOI: 10.1016/j.eti.2021.101421
Abstract: Abstract Experimental methods of reference evapotranspiration (ET0) calculation require extensive environmental data, not readily attainable everywhere. Therefore, two multivariate models using Levenberg–Marquardt nonlinear least-squares algorithm were developed in this research to estimate daily ET0 by… read more here.
Keywords: greenhouse environments; outdoor greenhouse; multivariate models; reference evapotranspiration ... See more keywords
Bayesian multivariate models for case assessment in dynamic signature cases.
Sign Up to like & getrecommendations! Published in 2020 at "Forensic science international"
DOI: 10.1016/j.forsciint.2020.110611
Abstract: Dynamic signatures are recordings of signatures made on digitizing devices such as tablet PCs. These handwritten signatures contain both dynamic and spatial information on every data point collected during the signature movement and can therefore… read more here.
Keywords: multivariate models; bayesian multivariate; dynamic signatures; dynamic signature ... See more keywords
Combining NDVI and Bacterial Blight Score to Predict Grain Yield in Field Pea
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.923381
Abstract: Field pea is the most commonly grown temperate pulse crop, with close to 15 million tons produced globally in 2020. Varieties improved through breeding are important to ensure ongoing improvements in yield and disease resistance.… read more here.
Keywords: yield; field pea; grain yield; multivariate models ... See more keywords
Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1067189
Abstract: Rice is the staple food of more than half of the population of the world and India as well. One of the major constraints in rice production is frequent occurrence of pests and diseases and… read more here.
Keywords: rice blast; disease; blast; multivariate models ... See more keywords
Artificial Neural Network and Multivariate Models Applied to Morphological Traits and Seeds of Common Beans Genotypes
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Agricultural Science"
DOI: 10.5539/jas.v10n11p572
Abstract: The aimed to characterize common beans genotypes utilizing multivariate models and artificial neural network thru the agronomic attributes and seeds dimensions. The experiment was conducted in the 2017/2018 crop season at the city of Tenente… read more here.
Keywords: neural network; multivariate models; beans genotypes; artificial neural ... See more keywords