A Bayesian algorithm to address the radar/ESM track association problem

2004 ◽  
Author(s):  
R. Theobald
Keyword(s):  
Bayesian Algorithm ◽  
Track Association

scholarly journals STRONG: metagenomics strain resolution on assembly graphs

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Christopher Quince ◽  
Sergey Nurk ◽  
Sebastien Raguideau ◽  
Robert James ◽  
Orkun S. Soyer ◽  
...  
Keyword(s):  
Time Series ◽  
De Novo ◽  
Single Copy ◽  
Bayesian Algorithm ◽  
Anaerobic Digestor ◽  
Core Genes

AbstractWe introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de novo, from multiple metagenome samples. STRONG performs coassembly, and binning into metagenome assembled genomes (MAGs), and stores the coassembly graph prior to variant simplification. This enables the subgraphs and their unitig per-sample coverages, for individual single-copy core genes (SCGs) in each MAG, to be extracted. A Bayesian algorithm, BayesPaths, determines the number of strains present, their haplotypes or sequences on the SCGs, and abundances. STRONG is validated using synthetic communities and for a real anaerobic digestor time series generates haplotypes that match those observed from long Nanopore reads.

scholarly journals Optimization of Aerosol Model Selection for TROPOMI/S5P

2021 ◽  
Vol 13 (13) ◽  
pp. 2489
Author(s):  
Lanlan Rao ◽  
Jian Xu ◽  
Dmitry S. Efremenko ◽  
Diego G. Loyola ◽  
Adrian Doicu
Keyword(s):  
Model Selection ◽  
Insufficient Information ◽  
Satellite Measurements ◽  
Model Uncertainties ◽  
Bayesian Algorithm ◽  
Layer Height ◽  
Aerosol Model ◽  
Selection For ◽  
Temporal Inhomogeneity ◽  
Aerosol Properties

To retrieve aerosol properties from satellite measurements, micro-physical aerosol models have to be assumed. Due to the spatial and temporal inhomogeneity of aerosols, choosing an appropriate aerosol model is an important task. In this paper, we use a Bayesian algorithm that takes into account model uncertainties to retrieve the aerosol optical depth and layer height from synthetic and real TROPOMI O2A band measurements. The results show that in case of insufficient information for an appropriate micro-physical model selection, the Bayesian algorithm improves the accuracy of the solution.

scholarly journals A track-to-track association method for automotive perception systems

2012 ◽  
Author(s):  
Adam Houenou ◽  
Philippe Bonnifait ◽  
Veronique Cherfaoui ◽  
Jean-Francois Boissou
Keyword(s):  
Track Association ◽  
Association Method

Multipath track association for over-the-horizon radar using Lagrangian relaxation

2004 ◽  
Author(s):  
Mark G. Rutten ◽  
Simon Maskell ◽  
Mark Briers ◽  
Neil J. Gordon
Keyword(s):  
Lagrangian Relaxation ◽  
Track Association

scholarly journals Evaluation of a Bayesian Algorithm to Detect Burned Areas in the Canary Islands’ Dry Woodlands and Forests Ecoregion Using MODIS Data

2018 ◽  
Vol 10 (5) ◽  
pp. 789 ◽  
Author(s):  
Francisco Guindos-Rojas ◽  
Manuel Arbelo ◽  
José García-Lázaro ◽  
José Moreno-Ruiz ◽  
Pedro Hernández-Leal
Keyword(s):  
Canary Islands ◽  
Bayesian Algorithm ◽  
Modis Data ◽  
Burned Areas

Insights into the determination of molecular structure from diffraction data using a Bayesian algorithm

2013 ◽  
Vol 25 (45) ◽  
pp. 454217 ◽  
Author(s):  
A Henao ◽  
M Rovira-Esteva ◽  
A Vispa ◽  
J Ll Tamarit ◽  
E Guardia ◽  
...  
Keyword(s):  
Molecular Structure ◽  
Diffraction Data ◽  
Bayesian Algorithm
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