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Advances in artificial systems for logistics engineering IV

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in artificial systems for logistics engineering IV/ edited by Zhengbing Hu, Qingying Zhang, Matthew He.
其他題名:	Advances in artificial systems for logistics engineering 4
其他作者:	Hu, Zhengbing.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xv, 552 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-72017-8
ISBN:	9783031720178

Advances in artificial systems for logistics engineering IV
Advances in artificial systems for logistics engineering IV[electronic resource] /Advances in artificial systems for logistics engineering 4edited by Zhengbing Hu, Qingying Zhang, Matthew He. - Cham :Springer Nature Switzerland :2024. - xv, 552 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes on data engineering and communications technologies,2232367-4520 ;. - Lecture notes on data engineering and communications technologies ;v.19..

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.

ISBN: 9783031720178

Standard No.: 10.1007/978-3-031-72017-8doiSubjects--Topical Terms:

574552
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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