Impact of deep learning and machine learning in industry 4.0: impact of deep learning

UK Lilhore, S Simaiya, A Kaur, D Prasad… - Cyber-Physical, IoT …, 2021 - taylorfrancis.com
Industry 4.0 provides emergence to what is called the “Smart Factory.” Industry 4.0 (IR 4.0) is
a growing phenomenon for automation and information sharing in industrial technology …

In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD

R Balin, F Simini, C Simpson, A Shao, A Rigazzi… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent years have seen many successful applications of machine learning (ML) to facilitate
fluid dynamic computations. As simulations grow, generating new training datasets for …

Low-Cost Post Hoc Reconstruction of HPC Simulations at Full Resolution

AZ Yousef, EW Draeger… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
High performance computing has played a pivotal and ongoing role in the field of
computational fluid dynamics, enabling the simulation of increasingly larger-scale models …

[PDF][PDF] Probabilistic Machine Learning and Data Assimilation

V Rao, S Madireddy, C Graziani, P Xue, R Maulik - 2021 - ai4esp.org
This white paper responds to Focal Area 1. The associated portfolio of research activities is
wellsuited to DOE's asset mix of HPC platforms, climate expertise, climate simulation codes …

RAPIDS2 SciDAC Institute: Rutgers Final Report

M Parashar - 2021 - osti.gov
The Rutgers team transitioned to the University of Utah in 2021 and is continuing to be part
of and to contribute to the RAPIDS2 SciDAC Institute. This final report is for the contributions …