Results 81 to 90 of about 3,471 (207)
Fall Soil Moisture Modulates Snow‐Streamflow Dynamics in the Colorado River Basin
Abstract The Colorado River Basin (CRB) has experienced a prolonged drought since 2000, with recent years showing a weakened relationship between snowpack conditions and streamflow. In this study, we examined the roles of fall soil moisture and spring weather on modulating snow‐streamflow dynamics in the CRB and its sub‐basins.
Swastik Ghimire +2 more
wiley +1 more source
Multilinear algebra in machine learning and signal processing [PDF]
session speciale "Numerical multilinear algebra: a new beginning"We will discuss how numerical multilinear algebra arises in both discriminative and generative models in machine learning: tensors in multilinear regression models (generalization of vector
Lim, Lek-Heng, Comon, Pierre
core
Estimating Fresh Weight of Individual Pea Shoots Using Measurable Morphological Characteristics
Nondestructive estimation of individual shoot fresh weight (FW) from its measurable morphological traits is useful for a wide variety of purposes in pea shoot production.
Yun Kong , Xiangyue Kong , Youbin Zheng
doaj +1 more source
Abstract Large‐eddy simulations (LES) are commonly employed to study small‐scale weather phenomena and to validate coarser models. Like larger‐scale weather and climate models, they contain weakly constrained parameters and use physical inputs with associated uncertainties, such as initial conditions or forcing. This study assesses the viability of the
D. Grund, S. Schemm
wiley +1 more source
Estimating carbon isotope discrimination and grain yield of bread wheat grown under water-limited and full irrigation conditions by hyperspectral canopy reflectance and multilinear regression analysis [PDF]
Water deficit is the most limiting factor for wheat production, so wheat-breeding programmes are currently focused on developing high-performance genotypes under such conditions.
Del Pozo, Alejandro +8 more
core
Identifiability and regression analysis of biological systems models: statistical and mathematical foundations and R scripts [PDF]
This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models.
Lecca, Paola
core +1 more source
Understanding the association between subjective emotional experiences and physiological signals is of practical and theoretical significance. Previous psychophysiological studies have shown a linear relationship between dynamic emotional valence ...
Naoya Kawamura +4 more
doaj +1 more source
The Space Weather Forecast Testbed (SWFT) is developed by a team of space weather scientists and mathematicians at the University of Southern California (USC) and Jet Propulsion Laboratory (JPL) to foster the creation of models for space weather forecast
Chunming Wang +5 more
doaj +1 more source
Abstract In global forensic literature, methods for estimating age in young individuals are more commonly addressed than those applicable to adults. This trend is also evident in Brazil. This study aimed to evaluate the performance of the DRNNAGE software for age estimation in Brazilian identified human skeletons. The sample consisted of 400 skeletons (
André Marquim Nogueira da Fonte Cornélio +6 more
wiley +1 more source
In this study, an integrated approach linking hydrothermal carbonization process (HTC) process parameters with structural and physicochemical characteristics via advanced multivariate statistical methods was presented. FTIR‐derived information was integrated with proximate analysis features, and principal component analysis (PCA) and partial least ...
Gamze Goktepeli +2 more
wiley +1 more source

