Zhengbing Hu - Advances in Artificial Systems for Logistics Engineering

The aim of the book series is to present cutting edge engineering approaches to data technologies and communications. It will publish latest advances on the engineering task of building and deploying distributed, scalable and reliable data infrastructures and communication systems.

The series will have a prominent applied focus on data technologies and communications with aim to promote the bridging from fundamental research on data science and networking to data engineering and communications that lead to industry products, business knowledge and standardisation.

Indexed by SCOPUS, INSPEC, EI Compendex.

All books published in the series are submitted for consideration in Web of Science.

More information about this series at https://link.springer.com/bookseries/15362

This Springer imprint is published by the registered company Springer Nature Switzerland AG

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The development of artificial intelligence (AI) systems and their applications in various fields belongs to the most urgent tasks of modern science and technology. One of these areas is AI and logistics engineering, in which their application is aimed at increasing the effectiveness of the generation and distribution of AI for the life support of the worlds population, including the tasks of developing industry, agriculture, medicine, transport, etc. The rapid development of AI systems requires the intensification of training of a growing number of relevant specialists. AI systems also have a lot of potential for use in education technology to improve the quality of training for specialists, taking into account the personal characteristics of these specialists and the new computing devices that are coming out.

For these reasons, the Second International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2022), held in Kyiv, Ukraine, on 2022 February 2022, organized jointly by the National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute, Wuhan University of Technology, Nanning University, National Aviation University, and the International Research Association of Modern Education and Computer Science. The ICAILE2022 brings together leading scholars from all around the world to share their findings and discuss outstanding challenges in computer science, logistics engineering, and education applications.

The best contributions to the conference were selected by the programme committee for inclusion in this book out of all submissions.