Articles with "using gaussian" as a keyword



Spatiotemporal reconstructions of global CO 2 ‐fluxes using Gaussian Markov random fields

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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… read more here.

Keywords: fluxes using; random fields; markov random; using gaussian ... See more keywords

Performance of the StaphGold ELISA test in determining subclinical Staphylococcus aureus infections in dairy cows using a Gaussian mixture model

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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… read more here.

Keywords: using gaussian; elisa test; test; mixture model ... See more keywords

Artificial nodes in the H2+ wave functions expanded using Gaussian-type orbitals or Laguerre-type orbitals

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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… read more here.

Keywords: type orbitals; using gaussian; wave functions; artificial nodes ... See more keywords

Reconstruction of Cenozoic δ11Bsw Using a Gaussian Process

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Published in 2024 at "Paleoceanography and Paleoclimatology"

DOI: 10.1029/2023pa004769

Abstract: The boron isotope ratio of seawater (δ11Bsw) is a parameter which must be known to reconstruct palaeo pH and CO2 from boron isotope measurements of marine carbonates. Beyond a few million years ago, δ11Bsw is… read more here.

Keywords: process; gaussian process; using gaussian; cenozoic 11bsw ... See more keywords

Bayesian electron density inference from JET lithium beam emission spectra using Gaussian processes

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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… read more here.

Keywords: density profiles; using gaussian; density; lithium beam ... See more keywords

Variational approximations using Gaussian ansatz, false instability, and its remedy in nonlinear Schrödinger lattices

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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… read more here.

Keywords: gaussian ansatz; using gaussian; nonlinear schr; schr dinger ... See more keywords

Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network

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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… read more here.

Keywords: neural network; brain tumor; using gaussian; brain ... See more keywords
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Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models

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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… read more here.

Keywords: optimal operating; operating; place recognition; visual place ... See more keywords

Modeling Dynamic Heterogeneity Using Gaussian Processes

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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... read more here.

Keywords: modeling dynamic; heterogeneity using; gaussian processes; heterogeneity ... See more keywords