Zhang, Zhihua. creator author. aut http://id.loc.gov/vocabulary/relators/aut Jorgensen, Palle E. T. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access VIII, 255 p. 7 illus., 6 illus. in color. online resource. This book establishes brand-new frame theory and technical implementation in data science, with a special focus on spatial-scale feature extraction, network dynamics, object-oriented analysis, data-driven environmental prediction, and climate diagnosis. Given that data science is unanimously recognized as a core driver for achieving Sustainable Development Goals of the United Nations, these frame techniques bring fundamental changes to multi-channel data mining systems and support the development of digital Earth platforms. This book integrates the authors' frame research in the past twenty years and provides cutting-edge techniques and depth for scientists, professionals, and graduate students in data science, applied mathematics, environmental science, and geoscience. . Abstract Frame Theory -- Fourier-type Frame Theory -- Bandlimited Framelet Theory -- Compactly Supported Framelet Theory -- Periodic Framelet Theory -- Spheroidal-type Frame Theory -- Big Data -- Climate Diagnosis -- Frame Neural Networks. by Zhihua Zhang, Palle E. T. Jorgensen. Artificial intelligence Data processing Mathematics Bioclimatology Environment Data Science Mathematics Climate Change Ecology Environmental Sciences Q336 9783031494833 https://doi.org/10.1007/978-3-031-49483-3 https://doi.org/10.1007/978-3-031-49483-3 240410 20251030111813.0 978-3-031-49483-3