Results 1 to 10 of about 5,269,346 (261)
Genetic parameters and litter trait trends of Danish pigs in South Vietnam [PDF]
Animal Bioscience, 2021 Objective The objective of this study was to estimate the genetic parameters and various litter trait trends of Danish pigs in South Vietnam, including the number born alive (NBA), number weaned (NW), and litter weight at the 21st day (LW21).
Nguyen Huu Tinh +2 more
doaj +1 more source
AiTLAS: Artificial Intelligence Toolbox for Earth Observation
Remote Sensing, 2023 We propose AiTLAS—an open-source, state-of-the-art toolbox for exploratory and predictive analysis of satellite imagery. It implements a range of deep-learning architectures and models tailored for the EO tasks illustrated in this case.
Ivica Dimitrovski +5 more
doaj +1 more source
Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft
Scientific Data, 2022 Measurement(s) electric current Technology Type(s) current readings in spacecraft housekeeping telemetry Sample Characteristic - Environment outer ...
Matej Petković +15 more
doaj +1 more source
Nihon Kikai Gakkai ronbunshu, 2021 In the previous study, one of the authors investigated stationary response characteristics of linear systems subjected to non-Gaussian random excitation.
Hideto FUKUSHIMA, Takahiro TSUCHIDA
doaj +1 more source
Normalised degree variance [PDF]
Applied Network Science, 2020 AbstractFinding graph indices which are unbiased to network size and density is of high importance both within a given field and across fields for enhancing comparability of modern network science studies. The degree variance is an important metric for characterising network degree heterogeneity.
Keith M. Smith, Javier Escudero
openaire +6 more sources
Identification of unknown parameters of the dynamic model of mass transfer
Mathematical Modelling and Analysis, 2023 An iterative algorithm for identifying unknown parameters of a mathematical model based on the Bayesian approach is proposed, which makes it possible to determine the most probable maximum informative estimates of these parameters.
Volodymyr Zavialov +5 more
doaj +1 more source
$k$-Variance: A Clustered Notion of Variance
SIAM Journal on Mathematics of Data Science, 2022 We introduce $k$-variance, a generalization of variance built on the machinery of random bipartite matchings. $K$-variance measures the expected cost of matching two sets of $k$ samples from a distribution to each other, capturing local rather than global information about a measure as $k$ increases; it is easily approximated stochastically using ...
Justin Solomon +2 more
openaire +3 more sources
Mathematical modeling of the interval stochastic thermal processes in technical systems at the interval indeterminacy of the determinative parameters [PDF]
Компьютерные исследования и моделирование, 2016 The currently performed mathematical and computer modeling of thermal processes in technical systems is based on an assumption that all the parameters determining thermal processes are fully and unambiguously known and identified (i.e., determined ...
Alexander Georgievitch Madera +1 more
doaj +1 more source
Agriculture, 2023 Insurance purchase and organization participation in risk management is of great practical significance for stabilizing agricultural production and household income.
Yanyuan Zhang, Xintong Wu
doaj +1 more source
The variance sum law and its implications for modelling [PDF]
Tutorials in Quantitative Methods for Psychology, 2021 Basic understanding of linear model is primordial in quantitative psychology and modelling. As an advanced topic for students in psychology, modelling data according to given sets of parameters can be challenging.
Caron, Pier-Olivier, Lemardelet, Laura
doaj +1 more source