Interdisciplinary Sciences: Applied Mathematics, AI, and Statistics Ta, Ton Viet. editor. edt http://id.loc.gov/vocabulary/relators/edt Nguyen, Linh Thi Hoai. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access X, 209 p. 141 illus., 121 illus. in color. online resource. This volume features a selection of technical papers presented at the workshop “The Fifth Workshop on Interdisciplinary Sciences (WIS 2023)". Contributions from esteemed researchers and academics in applied mathematics, AI, and statistics offer valuable insights into their latest research. The papers also delve into interdisciplinary applications, spanning fields such as agriculture and economics, with strong emphasis on data analysis techniques. We hope this proceedings volume will serve as a valuable resource for scholars, researchers, and practitioners interested in the recent advancements and emerging trends in interdisciplinary sciences. Applied mathematics -- AI -- Statistics Agriculture, Economics. edited by Ton Viet Ta, Linh Thi Hoai Nguyen. Social sciences Mathematics Mathematics Computer science Mathematics Discrete mathematics Mathematics Data processing Mathematics in Business, Economics and Finance Mathematics in Popular Science Discrete Mathematics in Computer Science Computational Mathematics and Numerical Analysis H61.25 9789819778508 https://doi.org/10.1007/978-981-97-7850-8 https://doi.org/10.1007/978-981-97-7850-8 241020 20251030113237.0 978-981-97-7850-8