High Performance Computing and Artificial Intelligence for Geosciences

In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Sub...

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Detalhes bibliográficos
Corporate Authors: Wang, Yuzhu, Jiang, Jinrong, Wang, Yangang
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2023
Assuntos:
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Saint-Venant equations
finite difference method
parallel computing
heterogeneous computing
deep learning
image enhancement
mineral identification
convolutional neural networks
BERT
named entity recognition
geological news
CRF
semantic segmentation
PSPNet
landslide
submarine landslide
machine learning
hazard susceptibility
spatial distribution
ZTEM
2D forward modeling
inversion
parallel algorithm
tipper
disaster precursor identification
early warning
association rule mining
particle swarm optimization
k-means clustering
Apriori algorithm
gray relation analysis
transformer
photovoltaic power forecasting
satellite images
LICOM
meteorological model
parallel optimization
time series
missing data
tensor completion
autoregressive norm
displacement prediction
GeoMAN model
gross primary productivity
attention mechanism
interdisciplinary
n/a
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/112508
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