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International Seminar on Computing Technologies and Applied Mathematics (2024 :)

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Computing Technologies and Applied Mathematics = CTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computing Technologies and Applied Mathematics/ edited by Arthur Gibadullin, Sergey Gordin.
Reminder of title:	CTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024 /
remainder title:	CTAM 2024
other author:	Gibadullin, Arthur.
corporate name:	International Seminar on Computing Technologies and Applied Mathematics
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	x, 212 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Preface -- Information-Mathematical Support of Digital Twin of Stand-Alone Hybrid Energy System -- Quadratic Programming in a Model of Resource Distribution in Agriculture Based on Quantum Approximate Optimization Algorithm -- The Detection of a Jump-like Gaussian Random Disturbance When Appearance Time and Dispersion is Unknown -- Mathematical Analysis of Disturbing Forces in the Air Gap of an Asynchronous Motor Using Finite Element Modeling -- Information-Analytical System for Fractal and Neural Network Diagnostics of Computed Tomography Images of the Lungs -- Optimizing Resources in Information and Telecommunication Systems on the Base of Mathematical Simulation -- Application of Quantum Swarm Algorithm in Global Optimization -- Genetic Algorithm for Sequential Optimization of Data Sampling for Construction Surrogate Models -- Beltrami-Mitchell Equations for the Case of Incompatible Deformations -- Optimization of Cargo Delivery Route to Nearby Cities -- Refinement of Variable Order Fractional Derivative of Gerasimov-Caputo Type by Multidimensional Levenberg-Marquardt Optimization Method -- Computational Approach to Modeling Nutrient-Dependent Growth of Bacterial Patterns with Time Delay Effect -- A Combined Approach to the Classification and Se-Mantic Segmentation of Production Tools Through the use of the One-Shot Learning Method -- The Kolmogorov-Smirnov Mathematical Test for Vectors of the Digital Twin of an Enterprise.
Contained By:	Springer Nature eBook
Subject:	Computer science - Mathematics -
Online resource:	https://doi.org/10.1007/978-3-031-90546-9
ISBN:	9783031905469

Computing Technologies and Applied Mathematics = CTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024 /
Computing Technologies and Applied MathematicsCTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024 /[electronic resource] :CTAM 2024edited by Arthur Gibadullin, Sergey Gordin. - Cham :Springer Nature Switzerland :2025. - x, 212 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 5002194-1017 ;. - Springer proceedings in mathematics & statistics ;volume 500..

Preface -- Information-Mathematical Support of Digital Twin of Stand-Alone Hybrid Energy System -- Quadratic Programming in a Model of Resource Distribution in Agriculture Based on Quantum Approximate Optimization Algorithm -- The Detection of a Jump-like Gaussian Random Disturbance When Appearance Time and Dispersion is Unknown -- Mathematical Analysis of Disturbing Forces in the Air Gap of an Asynchronous Motor Using Finite Element Modeling -- Information-Analytical System for Fractal and Neural Network Diagnostics of Computed Tomography Images of the Lungs -- Optimizing Resources in Information and Telecommunication Systems on the Base of Mathematical Simulation -- Application of Quantum Swarm Algorithm in Global Optimization -- Genetic Algorithm for Sequential Optimization of Data Sampling for Construction Surrogate Models -- Beltrami-Mitchell Equations for the Case of Incompatible Deformations -- Optimization of Cargo Delivery Route to Nearby Cities -- Refinement of Variable Order Fractional Derivative of Gerasimov-Caputo Type by Multidimensional Levenberg-Marquardt Optimization Method -- Computational Approach to Modeling Nutrient-Dependent Growth of Bacterial Patterns with Time Delay Effect -- A Combined Approach to the Classification and Se-Mantic Segmentation of Production Tools Through the use of the One-Shot Learning Method -- The Kolmogorov-Smirnov Mathematical Test for Vectors of the Digital Twin of an Enterprise.

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State University, Russia, from October 7 to 11, 2024. The seminar brought together a diverse group of international experts and young scientists from Germany, China, South Korea, Uzbekistan, and Russia to exchange the latest results and original ideas on the use of computing technologies and applied mathematics tools in both fundamental and applied research. Topics covered in this volume include the development of theoretical foundations, methods, and algorithms for implementing mathematical and computational models. The subjects ranged from health to logistics, with many devoted to algorithm optimization. Industrial applications are also covered, with studies of digital twins and quantum and evolutionary algorithms. By bridging academia and industry, this volume can benefit graduate students, experienced researchers, and industry practitioners alike, fostering both practical implementations in real-world scenarios and innovative avenues of applied research.

ISBN: 9783031905469

Standard No.: 10.1007/978-3-031-90546-9doiSubjects--Topical Terms:

678603
Computer science
--Mathematics

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

Computing Technologies and Applied Mathematics = CTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024 /
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520 $a This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State University, Russia, from October 7 to 11, 2024. The seminar brought together a diverse group of international experts and young scientists from Germany, China, South Korea, Uzbekistan, and Russia to exchange the latest results and original ideas on the use of computing technologies and applied mathematics tools in both fundamental and applied research. Topics covered in this volume include the development of theoretical foundations, methods, and algorithms for implementing mathematical and computational models. The subjects ranged from health to logistics, with many devoted to algorithm optimization. Industrial applications are also covered, with studies of digital twins and quantum and evolutionary algorithms. By bridging academia and industry, this volume can benefit graduate students, experienced researchers, and industry practitioners alike, fostering both practical implementations in real-world scenarios and innovative avenues of applied research.
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