Search Results - "Applied computing and geosciences" :: K.UTB vyhledávací portál

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An in-depth multivariate analysis of PM2.5 concentration and associated premature deaths in Europe and its strategic relationship with sustainability

by Sanz-Martín, Laura, Parra-Domínguez, Javier, Corchado, Juan Manuel
Published in Applied computing and geosciences (01.09.2024)

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Long-term temperature prediction with hybrid autoencoder algorithms

by Pérez-Aracil, J., Fister, D., Marina, C.M., Peláez-Rodríguez, C., Cornejo-Bueno, L., Gutiérrez, P.A., Giuliani, M., Castelleti, A., Salcedo-Sanz, S.
Published in Applied computing and geosciences (01.09.2024)

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A supervised machine learning procedure for EPMA classification and plotting of mineral groups

by Cossio, R., Ghignone, S., Borghi, A., Corno, A., Vaggelli, G.
Published in Applied computing and geosciences (01.09.2024)

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An in-depth multivariate analysis of P M 2 . 5 concentration and associated premature deaths in Europe and its strategic relationship with sustainability

by Sanz-Martín, Laura, Parra-Domínguez, Javier, Corchado, Juan Manuel
Published in Applied computing and geosciences (01.09.2024)

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Using multiple-point geostatistics for geomodeling of a vein-type gold deposit

by Zhexenbayeva, Aida, Madani, Nasser, Renard, Philippe, Straubhaar, Julien
Published in Applied computing and geosciences (01.09.2024)

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LSTM-based DEM generation in riverine environment

by Lovász, Virág, Halmai, Ákos
Published in Applied computing and geosciences (01.09.2024)

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POSIT: An automated tool for detecting and characterizing diverse morphological features in raster data - Application to pockmarks, mounds, and craters

by Alonso del Rosario, José J., Canari, Ariadna, Blázquez Gómez, Elízabeth, Martínez-Loriente, Sara
Published in Applied computing and geosciences (01.09.2024)

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Super-resolution in thin section of lacustrine shale reservoirs and its application in mineral and pore segmentation

by Guo, Chao, Gao, Chao, Liu, Chao, Liu, Gang, Sun, Jianbo, Chen, Yiyi, Gao, Chendong
Published in Applied computing and geosciences (01.09.2023)

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Automatic classification of plutonic rocks with deep learning

by Alférez, Germán H., Vázquez, Elías L., Martínez Ardila, Ana María, Clausen, Benjamin L.
Published in Applied computing and geosciences (01.06.2021)

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Development of the Synthetic Unit Hydrograph Tool – SUnHyT

by Innocente dos Santos, Camyla, Carlotto, Tomas, Steiner, Leonardo Vilela, Chaffe, Pedro Luiz Borges
Published in Applied computing and geosciences (01.12.2023)

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Knowledge-based query system for the critical minerals

by Davarpanah, Armita, Babaie, Hassan A., Elliott, W. Crawford
Published in Applied computing and geosciences (01.06.2024)

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A hybrid knowledge graph for efficient exploration of lithostratigraphic information in open text data

by Li, Wenjia, Ma, Xiaogang, Wang, Xinqing, Wu, Liang, Salati, Sanaz, Xie, Zhong
Published in Applied computing and geosciences (01.06.2024)

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Fracture density reconstruction using direct sampling multiple-point statistics and extreme value theory

by Tanaka, Ana Paula Burgoa, Renard, Philippe, Straubhaar, Julien
Published in Applied computing and geosciences (01.06.2024)

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Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation

by Neelakantan, Suraj, Norell, Jesper, Hansson, Alexander, Längkvist, Martin, Loutfi, Amy
Published in Applied computing and geosciences (01.03.2024)

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Parallel investigations of remote sensing and ground-truth Lake Chad's level data using statistical and machine learning methods

by Djimadoumngar, Kim-Ndor
Published in Applied computing and geosciences (01.12.2023)

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AnnRG - An artificial neural network solute geothermometer

by Ystroem, Lars H., Vollmer, Mark, Kohl, Thomas, Nitschke, Fabian
Published in Applied computing and geosciences (01.12.2023)

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A plugin for computing the pore/grain network tortuosity of a porous medium from 2D/3D MicroCT image

by Roque, Waldir L., Costa, Richelieu R.A.
Published in Applied computing and geosciences (01.03.2020)

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GeoSim: An R-package for plurigaussian simulation and Co-simulation between categorical and continuous variables

by Valakas, George, Modis, Konstantinos
Published in Applied computing and geosciences (01.09.2023)

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Enhancing reservoir porosity prediction from acoustic impedance and lithofacies using a weighted ensemble deep learning approach

by Ntibahanana, Munezero, Luemba, Moïse, Tondozi, Keto
Published in Applied computing and geosciences (01.12.2022)

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Automated detection of microfossil fish teeth from slide images using combined deep learning models

by Mimura, Kazuhide, Minabe, Shugo, Nakamura, Kentaro, Yasukawa, Kazutaka, Ohta, Junichiro, Kato, Yasuhiro
Published in Applied computing and geosciences (01.12.2022)

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