Results 111 to 120 of about 846,274 (324)

Well-posedness of Bayesian inverse problems in quasi-Banach spaces with stable priors

, 2017
The Bayesian perspective on inverse problems has attracted much mathematical attention in recent years. Particular attention has been paid to Bayesian inverse problems (BIPs) in which the parameter to be inferred lies in an infinite-dimensional space, a ...
Sullivan, T. J.
core   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Bayesian Estimation of Surface Strain Rates in the Peri-Adriatic, Balkans and Aegean region from GNSS Velocities

Tektonika
The calculation of spatial derivatives of the lithosphere surface velocity field has become a routine task in geosciences. It provides a continuous description of strain rates characteristics (dilation, rotation, strain rate intensity, etc) and ...
Marianne Métois, Cécile Lasserre, Aimine Méridi, Maxime Henriquet, Thomas Bodin   +4 more
doaj   +1 more source

Development of the Inversion Method for Transient Electromagnetic Data

IEEE Access, 2020
Transient electromagnetic method (TEM) is a geophysical tool to obtain resistivity distribution in the subsurface. Combining with the resistivity property of typical rocks, the TEM method can make inferences of the geological maps underground.
Guoqiang Xue, Hai Li, Yiming He, Junjie Xue, Xin Wu   +4 more
doaj   +1 more source

Full Wave Form Inversion for Seismic Data [PDF]

, 2011
In seismic wave inversion, seismic waves are sent into the ground and then observed at many receiving points with the aim of producing high-resolution images of the geological underground details.
Alkhalifah, T., Boonyasiriwat, C., Farmer, C., Hoteit, I., Luo, X.   +4 more
core  

Fast sampling in a linear-Gaussian inverse problem

, 2016
We solve the inverse problem of deblurring a pixelized image of Jupiter using regularized deconvolution and by sample-based Bayesian inference. By efficiently sampling the marginal posterior distribution for hyperparameters, then the full conditional for
Fox, Colin, Norton, Richard A.
core   +1 more source

Rapid Discriminative Variational Bayesian Inversion of Geophysical Data for the Spatial Distribution of Geological Properties

Journal of Geophysical Research: Solid Earth, 2019
We present a new, fully probabilistic and nonlinear inversion method to estimate the spatial distribution of geological properties (depositional facies, diagenetic rock types, or other rock properties) from geophysical data (e.g., seismic data). Contrary
Muhammad Atif Nawaz, Andrew Curtis
semanticscholar   +1 more source

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

Fourier coefficients-based stepwise Bayesian inversion for elastic and fracture parameters using azimuthal seismic data

Frontiers in Earth Science
The inversion of elastic and fracture parameters from azimuthal seismic data plays a critical role in charactering naturally fractured reservoirs. We propose a Fourier coefficients-based stepwise Bayesian inversion method to estimate these reservoir ...
Jingkun Sui, Haowen Xu, Sheng Chen, Xiaodong Zheng, Xinpeng Pan   +4 more
doaj   +1 more source

Ground-Based Remote Sensing of Volcanic CO2 Fluxes at Solfatara (Italy)—Direct Versus Inverse Bayesian Retrieval

Remote Sensing, 2018
CO2 is the second most abundant volatile species of degassing magma. CO2 fluxes carry information of incredible value, such as periods of volcanic unrest.
Manuel Queißer, Mike Burton, Domenico Granieri, Matthew Varnam   +3 more
doaj   +1 more source