Description

Book Synopsis
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.


Table of Contents
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.

Advances in Artificial Systems for Logistics

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    A Paperback / softback by Zhengbing Hu, Qingying Zhang, Sergey Petoukhov

    £123.49

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      Book details

      Publisher Springer Nature Switzerland AG
      Published 21 July 2021
      ISBN-13 9783030804749
      978-3030804749
      ISBN-10 3030804747
      Also in:
      Management and management techniques Artificial intelligence (AI) Engineering: general

      Description

      Book Synopsis
      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.


      Table of Contents
      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.

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