Results 211 to 220 of about 17,119 (239)
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Meteorological correction model of IBIS-L System in the Slope Deformation Monitoring
Intelligent Automation and Soft Computing, 2018AbstractMicro deformation monitoring system (IBIS-L) using high frequency microwave as signal for transmission, is easily affected by meteorology. How to eliminate the meteorological influence effectively, and extract useful information from the big data becomes a key to monitor the slope deformation with high precision by the IBIS-L system. Evaluation
Xiaoqing Zuo +5 more
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A numerical model for large deformation on meteorological images
1996The purpose of non-rigid motion in computer vision is the study of the geometrical deformation that may affect an object during its temporal evolution. One often assumes that this process is local and continuous; it is therefore the case for local geometrical features, which are considered as relevant for studying deformation.
Berroir, Jean-Paul +2 more
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Construction and Building Materials, 2020
Abstract A refined finite element model (FEM) of a China railway track system CRTS II slab ballastless track structure used in high-speed railways is established based on meteorological data and the track multilayer structural characteristics. Similarly, an analysis method for the thermal deformation and interfacial separation of CRTS II slab ...
Li Song +4 more
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Abstract A refined finite element model (FEM) of a China railway track system CRTS II slab ballastless track structure used in high-speed railways is established based on meteorological data and the track multilayer structural characteristics. Similarly, an analysis method for the thermal deformation and interfacial separation of CRTS II slab ...
Li Song +4 more
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Deformed polynomials in objective analysis of meteorological fields
pure and applied geophysics, 1974An attempt is made to use polynomials, deformed by appropriate functions to analyse sparse meteorological data avoiding the misbehaviour of polynomials when data is not abundant. The method is used in restricting conditions when meteorological data is sparse and computer capability limited.
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International Journal of Engineering Research in Africa, 2014
Extreme learning machine (ELM), as an emergent technique for training feed-forward neural networks, has shown good performance on various learning domains. This work evaluates the effectiveness of a new Gaussian kernel function-based extreme learning machine (KELM) algorithm for the deformation prediction of mine slope surface utilizing various kinds ...
Sun Wen Du +3 more
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Extreme learning machine (ELM), as an emergent technique for training feed-forward neural networks, has shown good performance on various learning domains. This work evaluates the effectiveness of a new Gaussian kernel function-based extreme learning machine (KELM) algorithm for the deformation prediction of mine slope surface utilizing various kinds ...
Sun Wen Du +3 more
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Detection of subtle precursors to forecast the timing and location of eruptive events are one of the main issues in volcanic risk mitigation. Seismic interferometry of ambient noise allows to detect very small change in the medium, but is affected by numerous processes such as strain and meteorological variations that need to be identified and ...
Quentin Dumont +3 more
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Quentin Dumont +3 more
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Image Analysis of Deformable Structures: a Meteorological Example
1997The segmentation of deformable structures is an important task of image analysis. Satellite image sequences provide a huge amount of data often displaying the temporal evolution of complex structures, like clouds in the atmosphere on meteorological data.
Yahia, Hussein, Berroir, Jean-Paul
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Effect of Meteorological Conditions on Tectonic Deformations in Hourly Period Range
Izvestiya, Physics of the Solid Earth, 2021G. A. Sobolev +2 more
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International Journal of Precision Engineering and Manufacturing, 2022
Cheoljeong Park +9 more
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Cheoljeong Park +9 more
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