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Advances in artificial systems for medicine and education V

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in artificial systems for medicine and education Vedited by Zhengbing Hu, Sergey Petoukhov, Matthew He.
其他題名:	Advances in artificial systems for medicine and education 5
其他作者:	Hu, Zhengbing.
團體作者:
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xi, 559 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-3-030-92537-6
ISBN:	9783030925376$q(electronic bk.)

Advances in artificial systems for medicine and education V
Advances in artificial systems for medicine and education V[electronic resource] /Advances in artificial systems for medicine and education 5edited by Zhengbing Hu, Sergey Petoukhov, Matthew He. - Cham :Springer International Publishing :2022. - xi, 559 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v. 1202367-4520 ;. - Lecture notes on data engineering and communications technologies ;v.2..

Modeling and Application of Ferry Crossing Channel Frequency Based on AIS Data -- Optimization of Intelligent Warehouse Layout Based on SLP Method-- Take SuNing Logistics CaiNiao Warehouse as an example -- Rural Governance Based on the Coordination of Multiple Subjects Intelligent Research -- Swin Transformer and Mask R-CNN based Person Detection Model for Firefighting Aid System -- Investigation of the Dynamics of the Formation of Collective Immunity in a Pandemic Using Multi-agent Modeling and Selective Neural Network -- Managing Self-organized Criticality in Neural Networks on the Edge of Stability and Chaos -- Method for Rapid Calculation of Urban Public Transport Passenger Flows in Residential Areas of Large Cities -- Genetic Informatics and the Bit-reversible Holography -The Problem of Inherited Holographic Features of Organisms -- Fuzzy Controller for Automatic Ventilation Control System -- Development of an Algorithm for Energy Efficient Resource Scheduling of a Multi-cloud Platform for Big Data Processing -- Ensemble of Gray Fuzzy Cognitive Maps Application to Solve the Problem of Predicting University Activity -- A Model for Evaluating Remaining Energy of Retired Battery Based on Improved PSO-BP Neural Network.

This book broadly covers a scope of the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fifth International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2021), which took place at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1-3 October 2021. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavour to reproduce the innate intellectual abilities of humans and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of cutting-edge research papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students who are interested in artificial intelligence, bioinformatics systems, also their expanding applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

ISBN: 9783030925376$q(electronic bk.)

Standard No.: 10.1007/978-3-030-92537-6doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334 / .I57 2021

Dewey Class. No.: 006.3

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520 $a This book broadly covers a scope of the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fifth International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2021), which took place at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1-3 October 2021. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavour to reproduce the innate intellectual abilities of humans and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of cutting-edge research papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students who are interested in artificial intelligence, bioinformatics systems, also their expanding applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.
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