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E-raamat: 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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Information Technologies and Intelligent Decision Making Systems: 4th International Scientific and Practical Conference, ITIDMS 2024, Moscow, Russia, December 11-13, 2024, Revised Selected PapersSuurem pilt
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This book constitutes the revised selected papers of the 4th International Scientific and Practical Conference on Information Technologies and Intelligent Decision-Making Systems, ITIDMS 2024, held in Moscow, Russia, during December 1113, 2024.



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.
.- 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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