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Published in 2019 at "Environmetrics"
DOI: 10.1002/env.2610
Abstract: Atmospheric inverse modeling is a method for reconstructing historical fluxes of green‐house gas between land and atmosphere, using observed atmospheric concentrations and an atmospheric tracer transport model. The small number of observed atmospheric concentrations in…
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Keywords:
fluxes using;
random fields;
markov random;
using gaussian ... See more keywords
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Published in 2022 at "Veterinary Medicine and Science"
DOI: 10.1002/vms3.785
Abstract: Abstract Background A novel ELISA test has been developed to detect antigen‐specific IgG in early and late lactation cows in New Zealand. Objectives This study was to evaluate the discriminatory ability of the ELISA based…
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Keywords:
using gaussian;
elisa test;
test;
mixture model ... See more keywords
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Published in 2017 at "Computational and Theoretical Chemistry"
DOI: 10.1016/j.comptc.2017.01.014
Abstract: Abstract In Hartree-Fock calculations for atoms and molecules, multicenter-expansion methods are commonly used, especially those based on linear combinations of atomic orbitals (LCAO) using Gaussian-type orbitals (GTOs) or Slater-type orbitals (STOs). Artificial nodes, which are…
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Keywords:
type orbitals;
using gaussian;
wave functions;
artificial nodes ... See more keywords
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Published in 2017 at "Nuclear Fusion"
DOI: 10.1088/1741-4326/aa5072
Abstract: A Bayesian model to infer edge electron density profiles is developed for the JET lithium beam emission spectroscopy (Li-BES) system, measuring Li I (2p-2s) line radiation using 26 channels with ~1 cm spatial resolution and…
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Keywords:
density profiles;
using gaussian;
density;
lithium beam ... See more keywords
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Published in 2018 at "Journal of Physics A: Mathematical and Theoretical"
DOI: 10.1088/1751-8121/aae4be
Abstract: We study the fundamental lattice solitons of the discrete nonlinear Schr\"{o}dinger (DNLS) equation and their stability via a variational method. Using a Gaussian ansatz and comparing the results with numerical computations, we report a novel…
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Keywords:
gaussian ansatz;
using gaussian;
nonlinear schr;
schr dinger ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3153108
Abstract: Understanding brain diseases such as categorizing Brain-Tumor (BT) is critical to assess the tumors and facilitate the patient with proper cure as per their categorizations. Numerous imaging schemes exist for BT detection, such as Magnetic…
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Keywords:
neural network;
brain tumor;
using gaussian;
brain ... See more keywords
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3043171
Abstract: Visual place recognition (VPR) algorithms are a key part of many autonomous systems, but typically consist of many parameters which require non-trivial optimization for a given deployment environment. Being able to automatically select the optimal…
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Keywords:
optimal operating;
operating;
place recognition;
visual place ... See more keywords
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Published in 2020 at "Journal of Marketing Research"
DOI: 10.2139/ssrn.2915632
Abstract: Marketing research relies on individual-level estimates to understand the rich heterogeneity of consumers, firms, and products. While much of the literature focuses on capturing static cross-sectio...
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Keywords:
modeling dynamic;
heterogeneity using;
gaussian processes;
heterogeneity ... See more keywords