Results 31 to 40 of about 18,650 (210)

Full Waveform Inversion for NDT using ultrasonic linear arrays

Research and Review Journal of Nondestructive Testing, 2023
Ultrasonic (UT) imaging is a widespread technique for nondestructive testing (NDT). The state-of-the-art UT image reconstruction algorithms are based on delay-and-sum (DAS) operations, which assume constant acoustic velocity across the tested objects ...
Daniel Rossato, Felipe Derewlany Gutierrez, Giovanni A. Guarneri, Thiago Alberto Rigo Passarin, Gustavo P. Pires, Daniel Rodrigues Pipa   +5 more
doaj   +1 more source

A high-resolution reanalysis of global fire weather from 1979 to 2018 – overwintering the Drought Code [PDF]

Earth System Science Data, 2020
We present a global high-resolution calculation of the Canadian Fire Weather Index (FWI) System indices using surface meteorology from the ERA5 HRES reanalysis for 1979–2018.
M. McElhinny, M. McElhinny, J. F. Beckers, C. Hanes, M. Flannigan, P. Jain   +5 more
doaj   +1 more source

Dry–Hot Compound Events Driving the 2024 Pantanal Wildfires

International Journal of Climatology, EarlyView.
Extreme wildfires in the Pantanal in 2024 were driven by a cascade of heatwaves, rainfall deficits and the absence of the annual flood pulse. These conditions dried soils and rivers, enhanced fuel accumulation and enabled early and intense fire outbreaks.
Liz B. C. Belém, Ronaldo Albuquerque, Leonardo F. Peres, Filippe L. M. Santos, Julia A. Rodrigues, Lucas S. Menezes, Patrícia S. Silva, Ricardo M. Trigo, Carlos C. DaCamara, Ana Russo, João Geirinhas, Geraldo A. Damasceno Junior, Fabio O. Roque, Ana M. B. Nunes, Renata Libonati   +14 more
wiley   +1 more source

Application of Laplace Domain Waveform Inversion to Cross-Hole Radar Data

Remote Sensing, 2019
Full waveform inversion (FWI) can yield high resolution images and has been applied in Ground Penetrating Radar (GPR) for around 20 years. However, appropriate selection of the initial models is important in FWI because such an inversion is highly ...
Xu Meng, Sixin Liu, Yi Xu, Lei Fu
doaj   +1 more source

Calibration and evaluation of the Canadian Forest Fire Weather Index (FWI) System for improved wildland fire danger rating in the United Kingdom [PDF]

Natural Hazards and Earth System Sciences, 2016
Wildfires in the United Kingdom (UK) pose a threat to people, infrastructure and the natural environment. During periods of particularly fire-prone weather, wildfires can occur simultaneously across large areas, placing considerable stress upon the ...
M. C. de Jong, M. J. Wooster, K. Kitchen, C. Manley, R. Gazzard, F. F. McCall   +5 more
doaj   +1 more source

Cryopreservation of yam germplasm in Guadeloupe (FWI)

Advances in horticultural science, 2007
Cryopreservation is the only technique ensuring the safe, long-term and cost-effective conservation of germplasm of vegetatively propagated species. Its applicability is currently being evaluated in Guadeloupe for the long-term storage of the yam germplansm collection maintained by INRA.
Gallet, Severine, Gamiette, Franciane, Filloux, Denis, Engelmann, Florent   +3 more
openaire   +3 more sources

Progressive matching optimisation method for FWI

Journal of Geophysics and Engineering, 2020
AbstractTo eliminate the dependency on a good initial model of the traditional full waveform inversion (FWI) method, we propose an optimisation method combining a derivative free optimisation method of modified particle swarm with gradient descent search.
Liacir S Lucena, João M de Araújo, Suzane A Silva, Francisco A Moura   +3 more
openaire   +1 more source

Stability for Receding-horizon Stochastic Model Predictive Control [PDF]

, 2015
A stochastic model predictive control (SMPC) approach is presented for discrete-time linear systems with arbitrary time-invariant probabilistic uncertainties and additive Gaussian process noise.
Mesbah, Ali, Paulson, Joel A., Streif, Stefan   +2 more
core   +1 more source

Neural network with signal parameters featuring for near‐surface velocity model building

Near Surface Geophysics, EarlyView.
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley   +1 more source

Full-waveform inversion based on generalized Rényi entropy using patched Green's function techniques.

PLoS ONE, 2022
The estimation of physical parameters from data analyses is a crucial process for the description and modeling of many complex systems. Based on Rényi α-Gaussian distribution and patched Green's function (PGF) techniques, we propose a robust framework ...
Wagner A Barbosa, Sérgio Luiz E F da Silva, Erick de la Barra, João M de Araújo   +3 more
doaj   +1 more source