Results 61 to 70 of about 113,545 (266)
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Tropical and Subtropical Agroecosystems, 2021 Background: In recently formed karst environments, as in the north of the state of Yucatan, Mexico, many chemical and physical properties of soils have a high spatial heterogeneity.
Francisco Bautista
doaj +1 more source
Exploration versus Exploitation Using Kriging Surrogate Modelling in Electromagnetic Design [PDF]
, 2011 This paper discusses the use of kriging surrogate modelling in multiobjective design optimisation in electromagnetics. The importance of achieving appropriate balance between exploration and exploitation is emphasised when searching for the global ...
Jan K. Sykulski +3 more
core +1 more source
Sunshine Duration in Brazil From Meteosat (1983–2020): Climatology, Variability and Long‐Term Trends
International Journal of Climatology, EarlyView.Using nearly four decades of Meteosat satellite data (1983–2020), this study presents a country‐wide climatology of sunshine duration (SDU) in Brazil. The results reveal marked regional contrasts, dominant modes of variability, and significant long‐term trends, providing new information on the most relevant meteorological systems that influence SDU and
Maria Lívia Lins Mattos Gava +2 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova +11 more
wiley +1 more source
Optimized Weighted Ensemble Approach for Enhancing Gold Mineralization Prediction
Applied Sciences, 2023 The economic value of a mineral resource is highly dependent on the accuracy of grade estimations. Accurate predictions of mineral grades can help businesses decide whether to invest in a mining project and optimize mining operations to maximize the ...
M. M. Zaki +6 more
doaj +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.State‐of‐the‐art, convection‐permitting NWP models reproduced the main features of the October 22–23, 2019 heavy precipitation event in Catalonia. However, slight configuration changes yielded varying streamflow responses and statistical performance, highlighting the challenge of simulating these events in Mediterranean medium‐sized basins ...
D. Ramonell +3 more
wiley +1 more source
On the Performance of Neural Network Residual Kriging in Radio Environment Mapping
IEEE Access, 2019 This paper addresses the research question: can feedforward neural network (FFNN)-based path loss modeling improve the accuracy of Kriging? Radio propagation factors, which consist of path loss and shadowing, can accurately be obtained via crowdsourcing ...
Koya Sato, Kei Inage, Takeo Fujii
doaj +1 more source
Applied Sciences, 2021 The radon isotope (222Rn, half-life 3.8 days) is a radioactive byproduct of the 238U decay chain. Because radon is the second biggest cause of lung cancer after smoking, dense maps of indoor radon concentration are required to implement effective locally
Filomena Loffredo +2 more
doaj +1 more source
Interpolating point spread function anisotropy
, 2012 Planned wide-field weak lensing surveys are expected to reduce the statistical errors on the shear field to unprecedented levels. In contrast, systematic errors like those induced by the convolution with the point spread function (PSF) will not benefit ...
Courbin, F., Gentile, M., Meylan, G.
core +1 more source