Results 101 to 110 of about 25,267,562 (240)

The Use of Massive Deformation Datasets for the Analysis of Spatial and Temporal Evolution of Mauna Loa Volcano (Hawai’i)

Remote Sensing, 2018
In this work, we exploited large DInSAR and GPS datasets to create a 4D image of the magma transfer processes at Mauna Loa Volcano (Island of Hawai’i) from 2005 to 2015.
Susi Pepe, Luca D’Auria, Raffaele Castaldo, Francesco Casu, Claudio De Luca, Vincenzo De Novellis, Eugenio Sansosti, Giuseppe Solaro, Pietro Tizzani   +8 more
doaj   +1 more source

Inverse modeling of the global methyl chloride sources [PDF]

, 2006
Inverse modeling using the Bayesian least squares method is applied to better constrain the sources and sinks of atmospheric methyl chloride (CH3Cl) using observations from seven surface stations and eight aircraft field experiments.
Blake, DR, Cunnold, D, Dutton, GS, Shim, C, Wang, Y, Yoshida, Y   +5 more
core  

Problems in computational helioseismology

, 2017
We discuss current advances in forward and inverse modeling for local helioseismology. We report theoretical uniqueness results, in particular the Novikov-Agaltsov reconstruction algorithm, which is relevant to solving the non-linear inverse problem of ...
Fournier, Damien, Gizon, Laurent, Hohage, Thorsten   +2 more
core  

The problem of detecting corrosion by an electric measurement revisited [PDF]

, 2015
We establish a logarithmic stability estimate for the problem of detecting corrosion by a single electric measurement. We give a proof based on an adaptation of the method initiated in \cite{BCJ} for solving the inverse problem of recovering the surface ...
Choulli, Mourad, Jbalia, Aymen
core  

Correlation, Independance and Inverse Modeling [PDF]

, 2008
Learning from examples has a wide number of forms depending on what is to be learned from which available information. One of these form is y = f( x ) where the input-output pair ( x , y ) is the available information and frepresents the process mapping ${\bf x}\in\cal X$ to ${\bf y}\in\cal Y$.
openaire   +1 more source

Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling

, 2016
. Existing estimates of methane (CH4) fluxes from North American wetlands vary widely in both magnitude and distribution. In light of these differences, this study uses atmospheric CH4 observations from the US and Canada to analyze seven different bottom-
Scot M. Miller, R. Commane, J. Melton, A. Andrews, J. Benmergui, E. Dlugokencky, G. Janssens‑Maenhout, A. Michalak, C. Sweeney, D. Worthy   +9 more
semanticscholar   +1 more source

An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering

IEEE Access
The use of inverse modeling-based crossover operators in multi-objective evolutionary algorithms (MOEAs) has recently received much attention. Sampling in the objective space is advantageous over sampling in the decision space as it allows selecting ...
Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel   +2 more
doaj   +1 more source

Reduced Geostatistical Approach With a Fourier Neural Operator Surrogate Model for Inverse Modeling of Hydraulic Tomography

Water Resources Research
In this study, we propose a new approach for inverse modeling of hydraulic tomography (HT) using the Fourier neural operator (FNO) as a surrogate forward model. FNO is a deep learning model that directly parameterizes the integral kernel in Fourier space
Quan Guo, Yu He, Ming Liu, Yue Zhao, Yuzheng Liu, Jian Luo   +5 more
doaj   +1 more source

Control of a flexible bracing manipulator: Integration of current research work to realize the bracing manipulator [PDF]

All research results about flexible manipulator control were integrated to show a control scenario of a bracing manipulator. First, dynamic analysis of a flexible manipulator was done for modeling.
Kwon, Dong-Soo
core   +1 more source

Soil Hydraulic Properties Estimated from Evaporation Experiment Monitored by Low-Cost Sensors

Agronomy
The estimation of soil hydraulic properties—such as water retention and hydraulic conductivity—is essential for irrigation management and agro-hydrological modeling.
Tallys Henrique Bonfim-Silva, Everton Alves Rodrigues Pinheiro, Tonny José Araújo da Silva, Thiago Franco Duarte, Luana Aparecida Menegaz Meneghetti, Edna Maria Bonfim-Silva   +5 more
doaj   +1 more source