Results 21 to 30 of about 25,590 (247)
Use of partial least squares regression to impute SNP genotypes in Italian Cattle breeds [PDF]
, 2013 Background The objective of the present study was to test the ability of the partial least squares regression technique to impute genotypes from low density single nucleotide polymorphisms (SNP) panels i.e. 3K or 7K to a high density panel with 50K SNP.
AJ Chamberlain +39 more
core +3 more sources
Sensors, 2020 Accurate quantitative mineralogical data has significant implications in mining operations. However, quantitative analysis of minerals is challenging for most of the sensor outputs. Thus, it requires advances in data analytics.
Feven Desta, Mike Buxton, Jeroen Jansen
doaj +1 more source
Study of PLSR-BP model for stability assessment of loess slope based on particle swarm optimization
Scientific 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
semanticscholar +1 more source
Learning to predict distributions of words across domains [PDF]
, 2014 Although the distributional hypothesis has been applied successfully in many natural language processing tasks, systems using distributional information have been limited to a single domain because the distribution of a word can vary between domains as ...
Bollegala, Danushka +2 more
core +2 more sources
Revista de Teledetección, 2020 Los pastos arbolados y arbustivos son vitales para la producción ganadera extensiva y sostenible, la conservación de la biodiversidad y la provisión de servicios ecosistémicos y se localizan en áreas que serán previsiblemente más afectadas por el cambio ...
M. P. Martín +7 more
doaj +1 more source
Estimation and mapping of pasture biomass in Mongolia using machine learning methods
Geocarto International, 2023 Mongolian pasture plays an essential role in the national economy. Reliable pasture biomass estimation is indispensable to support the agricultural sector and also sustainable livelihood in the country.
Enkhmanlai Amarsaikhan +4 more
doaj +1 more source
Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method [PDF]
Revista 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
Italian National Conference on Sensors, 2020 Precision agriculture (PA) strongly relies on spatially differentiated sensor information. Handheld instruments based on laser-induced breakdown spectroscopy (LIBS) are a promising sensor technique for the in-field determination of various soil ...
A. Erler +4 more
semanticscholar +1 more source
Partitioning predictors in multivariate regression models [PDF]
, 2015 A Multivariate Regression Model Based on the Optimal Partition of Predictors (MRBOP) useful in applications in the presence of strongly correlated predictors is presented.
MARTELLA, Francesca +2 more
core +1 more source
Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance [PDF]
, 2010 The objective of this simulation study was to compare the effect of the number of QTL and distribution of QTL variance on the accuracy of breeding values estimated with genomewide markers (MEBV).
Albart Coster +36 more
core +2 more sources