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Gibadullin

Information Technologies and Intelligent Decision Making Systems

5th International Scientific and Practical Conference, ITIDMS 2025, Margilan, Uzbekistan, December 11–13, 2025, Revised Selected Papers

Medium: Buch
ISBN: 978-3-032-40535-7
Verlag: Springer
Erscheinungstermin: 20.12.2026
vorbestellbar, Erscheinungstermin ca. Dezember 2026

This book constitutes the refereed post proceedings of the 5th International Scientific and Practical Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2025, held in Margilan, Uzbekistan, during December, 11-13, 2025.

The 17 full papers included in this book were carefully reviewed and selected from 49 submissions. They focus on topics such as digital, intellectual and information transformation, the development of computer models and the improvement of automated and computing processes.


Produkteigenschaften


  • Artikelnummer: 9783032405357
  • Medium: Buch
  • ISBN: 978-3-032-40535-7
  • Verlag: Springer
  • Erscheinungstermin: 20.12.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Communications in Computer and Information Science
  • Produktform: Kartoniert
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

.- Method for Setting Parameters of a Graph-Based Knowledge Model Based on Ontology.
.- Nonlinear Modeling of Groundwater Flow in a Two Layer Heterogeneous Aquifer System.
.- A Software Tool for Dual-Input Nonlinear Data Modeling Based on an Enhanced Adaptive Levenberg–Marquardt Method.
.- A Video-Based Information Model for Evaluating Artificial Intelligence Lecturer Avatars in Higher Education.
.- A Model for Enhancing the Efficiency of Graph-Based Data Structures and Optimized Search Algorithms in Artificial Intelligence Systems.
.- Intelligent Context Compression for Large Language Models via an Adaptive Hierarchical Context Index with Bounded Quality Degradation.
.- A Comparative Analysis of Data Lake House Architectures (Delta Lake, Apache Iceberg, Apache Hudi) for Real-Time Streaming Big Data Processing.
.- Intelligent Network Traffic Analysis Techniques for Anomaly Detection in Computer Networks.
.- Development of an Intelligent Predictive Maintenance Model for Industrial Equipment Using Extreme Gradient Boosting and Random Forest Algorithms.
.- A Guaranteed Adaptive Semantic Caching Algorithm for Big-Data Analytical Queries Driven by Large Language Models.
.- Optimizing Neural Editor Hyperparameters to Improve Image Conversion Quality.
.- A Provable and Interpretable Multi-Criteria Tool Selection Algorithm for Long-Context Large Language Models.
.- Development of an Information-Analytical Decision Support System for Predictive Modeling and Automated Analysis of Risk States in Technical Facilities.
.- Deep Learning-Based Dynamic Cooperation Governance Model for Rural Public Services.
.- Icon Detection and Classification for Robotic Testing of Vehicle Infotainment Screens.
.- Tiny UAV Identification via Radar-Camera Fusion and Frame Differencing with YOLOv11.
.- Method and Software Implementation for Geovisualization Based on Geoenrichment and Knowledge Graphs.
.- Application of Graph Theory in Artificial Intelligence for Management Tasks in the Context of Technological Modernization.
.- Implementation of Artificial Intelligence Architecture Based on Graph Theory for the Structure of Language Models and Neural Networks.