High Performance Computing and Artificial Intelligence for Geosciences

• Autres auteurs: Wang, Yuzhu (Éditeur intellectuel), Jiang, Jinrong (Éditeur intellectuel), Wang, Yangang (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Sujets: 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
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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...