Titlebook: Computational Science and Its Applications – ICCSA 2023 Workshops; Athens, Greece, July Osvaldo Gervasi,Beniamino Murgante,Carmelo M. Torr

Outmoded

synovial-joint

Adaptive Data-Based Optimization of the Training Dataset for the NDM-neted to suppress numerical error in seismic modeling results. In this approach, a small number of seismograms generated using coarse and fine girds are used to train the network, mapping the inaccurate coarse-grid data to the high-quality fine-grid data. After that, the network is applied to the entir

Prognosis

Numerical Evaluating the Permeability of Rocks Based on Correlation Dependence on Geometry makes it possible to perform such an assessment using limited computing resources, in particular, personal computers. It is based on a decomposition of the 3D sample image into small representative sub-samples, for which the absolute permeability is estimated based on the numerical solution of the

–scent

cortisol

Optimal Time-Step for Coupled CFD-DEM Model in Sand Productionrs in oil and gas reservoirs. To perform accurate, physically relevant and efficient calculations, the optimal size of the simulation time-step should be selected. In this study, we investigate the selection of an appropriate time-step interval between CFD and DEM models in sand production simulatio

insincerity

实施生效

共和国

Glutinous

interrogate

Area-Efficient Accelerator for the Full NTRU-KEM Algorithmsing cryptosystem for key establishment. However, the algorithm requires more storage space and computation resources compared to classical cryptosystems, resulting in substantial memory and performance overheads. To mitigate these overheads, researchers have focused on enhancing the efficiency of t