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Advances in artificial systems for l...
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(1998 :)
Advances in artificial systems for logistics engineering
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in artificial systems for logistics engineeringedited by Zhengbing Hu ... [et al.].
其他題名:
ICAILE 2021
其他作者:
Hu, Zhengbing.
團體作者:
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
viii, 380 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Machine learningCongresses.
電子資源:
https://doi.org/10.1007/978-3-030-80475-6
ISBN:
9783030804756$q(electronic bk.)
Advances in artificial systems for logistics engineering
Advances in artificial systems for logistics engineering
[electronic resource] /ICAILE 2021edited by Zhengbing Hu ... [et al.]. - Cham :Springer International Publishing :2021. - viii, 380 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.822367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.2..
Deep Learning for Grasp-and-Lift Movement Forecasting based on Electroencephalography by Brain-computer Interface -- Inland Waterborne Commerce Study based on Variance Decomposition and Cross-spectral Analysis -- RBF-based Input Doubling Method for Small Medical Data Processing -- Vehicles and Cargos Two-sided Matching based on Similarity Calculation -- Warehousing Process Mining Research based on Petri Net -- Mathematical Methods of Algebraic Biology.
This book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 22-24 January 2021, organized jointly by Wuhan University of Technology, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners and undergraduate students interested in artificial intelligence and their applications in logistics engineering.
ISBN: 9783030804756$q(electronic bk.)
Standard No.: 10.1007/978-3-030-80475-6doiSubjects--Topical Terms:
384498
Machine learning
--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Advances in artificial systems for logistics engineering
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