Hu, Zhengbing. editor. edt http://id.loc.gov/vocabulary/relators/edt Zhang, Qingying. editor. edt http://id.loc.gov/vocabulary/relators/edt He, Matthew. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XV, 552 p. 178 illus., 115 illus. in color. online resource. The book comprises high-quality refereed research papers presented at the 4th International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2024), held in Guiyang, China, on April 16–17, 2024, was organized jointly by Wuhan University of Technology, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", the Polish Operational and Systems Society, Wuhan Technology and Business University, Guizhou Vocational and Technical College of Transportation, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering. edited by Zhengbing Hu, Qingying Zhang, Matthew He. Computational intelligence Business logistics Artificial intelligence Computational Intelligence Logistics Artificial Intelligence Q342 9783031720178 https://doi.org/10.1007/978-3-031-72017-8 https://doi.org/10.1007/978-3-031-72017-8 241002 20251030113123.0 978-3-031-72017-8