Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

With ever-increasing execution scale of the high performance computing (HPC)
applications, vast amount of data are being produced by scientific research every day. Error …

Error-bounded lossy compression is becoming an indispensable technique for the success
of today's scientific projects with vast volumes of data produced during the simulations or …

Industry 4.0 has witnessed the rise of complex robots fueled by the integration of Artificial
Intelligence/Machine Learning (AI/ML) and Digital Twin (DT) technologies. While these …

Error-bounded lossy compression has been effective to resolve the big scientific data issue
because it has a great potential to significantly reduce the data volume while allowing users …

Scientific applications continue to grow and produce extremely large amounts of data, which
require efficient compression algorithms for long-term storage. Compression errors in …

Error-bounded lossy compression is one of the most effective techniques for reducing
scientific data sizes. However, the traditional trial-and-error approach used to configure …

The growing amount of data collected by Earth Observation (EO) satellites requires new
processing procedures able to manage huge quantity of information. Artificial intelligence …

Benefiting from the cutting-edge supercomputers that support extremely large-scale
scientific simulations, climate research has advanced significantly over the past decades …

Error-bounded lossy compression has been identified as a promising solution for
significantly reducing scientific data volumes upon users' requirements on data distortion …