HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
Work
Year: 2018
Type: article
Abstract: . Recently, deep learning (DL) has emerged as a revolutionary and versatile tool transforming industry applications and generating new and improved capabilities for scientific discovery and model buil... more
Institutions Pennsylvania State University, Belgian Nuclear Research Centre, University of Saskatchewan, Lawrence Berkeley National Laboratory, Consortium of Universities for the Advancement of Hydrologic Science +7 more
Cites: 120
Cited by: 304
Related to: 10
FWCI: 17.96
Citation percentile (by year/subfield): 99.99
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: gold
APC paid (est): $1,725