| 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 |