• Neu
Balandin / Barkalov / Meyerov | Mathematical Modeling and Supercomputer Technologies | E-Book | www2.sack.de
E-Book

E-Book, Englisch, 340 Seiten

Reihe: Communications in Computer and Information Science

Balandin / Barkalov / Meyerov Mathematical Modeling and Supercomputer Technologies

25th International Conference, MMST 2025, Nizhny Novgorod, Russia, November 17–19, 2025, Revised Selected Papers
Erscheinungsjahr 2026
ISBN: 978-3-032-15761-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

25th International Conference, MMST 2025, Nizhny Novgorod, Russia, November 17–19, 2025, Revised Selected Papers

E-Book, Englisch, 340 Seiten

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-15761-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book constitutes the revised selected papers of the 25th International Conference on Mathematical Modeling and Supercomputer Technologies, MMST 2025, held in Nizhny Novgorod, Russia, during November 17–19, 2025.

The 21 full papers and 3 short papers included in this book were carefully reviewed and selected from 41 submissions. They are organized in topical sections as follows: Artificial intelligence and Supercomputer Simulation; Computing in Optimization and Optimal Control; and Computational Methods for Mathematical Models Analysis.

Balandin / Barkalov / Meyerov Mathematical Modeling and Supercomputer Technologies jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Artificial intelligence and supercomputer simulation.- The Classification of Synaptic Responses in Mice Hippocampal Slices Using Machine Learning Approach.- Development of Artificial Intelligence for Complex Objects of the Oil and Gas Industry Based on Self Assembly of a Unified Artificial Immune System with Endocrine Regulation of Homeostasis.- Intelligent Investigator Support System for Assessing the Degree of Guilt of a Suspect Based on Fuzzy Neural Networks.- A Study of Neural Network Architectures with Memory Based on Fuzzy Logic for Financial Time Series Forecasting.- Construction of Multi level Regular Networks Based on the Operation of Composition of Circulant Graphs.- Soil Aware Physics Informed Neural Networks for Modeling Cesium-137 Migration.- Image Feature Informed Networks (IFINet) for Anomaly Detection in Video Game Frames.- Application of Deep Learning for Electrogram Segmentation.-  Computing in optimization and optimal control.- Optimization of the Structure of the Solution of Parametric Problems by Methods of Modification of Ant Colonies Taking into Account Time Factors.- Optimization Problem for the Special Fuzzy Assignment Problem.- Generalized Control of Linear Descriptor Systems.- Mathematical Model of the Controlled Motion of a Spherical Robot with Electromagnetic Drive.- The Worst-case Disturbances Acting on Multi-mass Mechanical Systems.- Parallel Global Optimization Algorithm Employing Decision Trees for Launching Local Methods.- Computational methods for mathematical models analysis.- Application of Grid Characteristic Method to the Numerical Simulation of Strong Short Term Dynamic Loads on Underground Structures.- Numerical Simulation of Dynamic Compression of a Multilayer Package of Metal Meshes.- Numerical Simulation of 3D Marine Seismic Exploration on HPC Systems.- Triple Analysis Algorithms in the Networks of the Calcium Neuron Activity.- Numerical Modeling of Elastic Waves in Thin Shells with Grid-Characteristic Method.- Problem of Boundary Observation for the Quasi stationary Electrical Approximation.- Dynamics of a Multi-piston Vibropercussion Mechanism Equipped with a Reaction Weight.- Stable Heteroclinic Cycle in the Ensemble of Generalized Lotka-Volterra Elements.- On the Attractor-Repeller Collision in the Periodically Forced Duffing Equation.- Methods for Testing Refinery Material Balance Data Reconciliation Models.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.