Information Technologies and Intelligent Decision Making Systems: 4th International Scientific and Practical Conference, ITIDMS 2024, Moscow, Russia, December 11–13, 2024, Revised Selected Papers

Author:   Arthur Gibadullin
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032161048


Publication Date:   06 February 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Information Technologies and Intelligent Decision Making Systems: 4th International Scientific and Practical Conference, ITIDMS 2024, Moscow, Russia, December 11–13, 2024, Revised Selected Papers


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Author:   Arthur Gibadullin
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032161048


ISBN 10:   3032161045
Publication Date:   06 February 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- Mathematical Modeling of Determining the Current of a CdTe-SiO2 Semiconductor in an Alternating Electric Field. .- A Mathematical Model for Calculating Incoming Energy Based on Climate Change. .- An Improved Two-Stage Processing Method for Tomographic Images in Industrial Inspection Using Self Supervised Neural Networks: Denoising and Super Resolution. .- Filtering X-ray Images Based on Gabor-flexible Representation of Quantum Images. .- Time Series Research using Cross-Wavelet-Analysis. .- Application of Adaptive Neuro-Fuzzy System in Semiconductor Defects. .- A Method of Screw Movement of the Piston in the Cylinder of Rotation with Modeling of Piston Movement in the Program MathCAD. .- Integration Model for Business Intelligence Systems in Cloud Architecture Using Multi-Agent Systems. .- Comparative Analysis of Methods for Solving Differential Equations Using MATLAB. .- Optimization of Transfer Learning Models for Forecasting Complex Systems. .- Fuzzy Situational-Precedent Models for Control of Complex Technical Objects. .- Scalable Customer Segmentation with Mini-Batch K-Means on Apache Spark: A Comparative Study of Clustering Algorithms. .- Classification of X-ray Images Using Quantum-Hybrid Neural Network. .- Detection and Verification of the Object's Compliance with the Requirements of Marketplace Using Neural Networks. .- Modeling of Cyber-physical Systems with the Possibility of Increasing the Efficiency of their Management. .- The Impact of Synthetic Noise on the Performance of YOLO for HEp-2 Cell Classification. .- Contribution Impact, Challenges, and Future Directions of Computerized Virtual Reality to Shape the Future.

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