03157nam a22006135i 4500 978-981-97-7850-8 DE-He213 20251030113237.0 cr nn 008mamaa 241020s2024 si | s |||| 0|eng d 9789819778508 978-981-97-7850-8 10.1007/978-981-97-7850-8 doi H61.25 PBW bicssc K bicssc MAT003000 bisacsh PBW thema K thema Proceedings of Workshop on Interdisciplinary Sciences 2023 [electronic resource] : Interdisciplinary Sciences: Applied Mathematics, AI, and Statistics / edited by Ton Viet Ta, Linh Thi Hoai Nguyen. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. X, 209 p. 141 illus., 121 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Mathematics for Industry, 2198-3518 ; 38 Applied mathematics -- AI -- Statistics Agriculture, Economics. 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. Social sciences Mathematics. 69736 Mathematics. 65523 Computer science Mathematics. 64041 Discrete mathematics. Mathematics Data processing. 65715 Mathematics in Business, Economics and Finance. 69739 Mathematics in Popular Science. 75252 Discrete Mathematics in Computer Science. Computational Mathematics and Numerical Analysis. 66073 Ta, Ton Viet. editor. edt http://id.loc.gov/vocabulary/relators/edt 86330 Nguyen, Linh Thi Hoai. editor. edt http://id.loc.gov/vocabulary/relators/edt 86331 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819778492 Printed edition: 9789819778515 Printed edition: 9789819778522 Mathematics for Industry, 2198-3518 ; 38 86332 https://doi.org/10.1007/978-981-97-7850-8 ZDB-2-SMA ZDB-2-SXMS 64349 64349