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Advances in Artificial Systems for Logistics Engineering

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in Artificial Systems for Logistics Engineering/ edited by Zhengbing Hu, Qingying Zhang, Sergey Petoukhov, Matthew He.
other author:	Hu, Zhengbing.
Description:	VIII, 380 p. 156 illus., 83 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-80475-6
ISBN:	9783030804756

Advances in Artificial Systems for Logistics Engineering
Advances in Artificial Systems for Logistics Engineering[electronic resource] /edited by Zhengbing Hu, Qingying Zhang, Sergey Petoukhov, Matthew He. - 1st ed. 2021. - VIII, 380 p. 156 illus., 83 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,822367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.

Deep Learning for Grasp-and-Lift Movement Forecasting based on Electroencephalography by Brain-computer Interface -- Inland Waterborne Commerce Study based on Variance Decomposition and Cross-spectral Analysis -- RBF-based Input Doubling Method for Small Medical Data Processing -- Vehicles and Cargos Two-sided Matching based on Similarity Calculation -- Warehousing Process Mining Research based on Petri Net -- Mathematical Methods of Algebraic Biology.

This book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 22–24 January 2021, organized jointly by Wuhan University of Technology, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” 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 their applications in logistics engineering.

ISBN: 9783030804756

Standard No.: 10.1007/978-3-030-80475-6doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Artificial Systems for Logistics Engineering
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