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Full Description
This book constitutes the selected papers from the 9th World Conference on Soft Computing or WConSC 2024, held on September 25-27, 2024, in Baku, Azerbaijan. The conference was organized by the University of California Berkeley, California, USA, and Azerbaijan State Economic University, Azerbaijan.
The conference papers included in these proceedings were grouped into the following research areas: Fuzzy simulation and data mining, intelligent and multi-agent systems, fuzzy recognition, artificial intelligence, fuzzy sets and quantum computing, fuzzy control systems, fuzzy methods and modern approaches, fuzzy methods and modern approaches, fuzzy control and fuzzy approach, fuzzy sets and decision on making, soft computing and fuzzy logic, fuzzy applications and fuzzy control, fuzzy logic and its applications, fuzzy neural networks, intelligent methods and fuzzy approach, fuzzy methods and applications in medicine, fuzzy applications and analysis system.
The topics of this book provide useful information to professors, researchers, and graduated students in the area of soft computing techniques and applications.
Contents
Fuzzy Control and Fuzzy Approach.- Regression with Level Set Fuzzy Systems.- Optimal Route Selection Problem in Operational and Organizational Control.- Enhancing COVID-19 Forecasting Through Transfer Learning with Fuzzy Logic Integration: A Comparative Analysis of Data Augmentation, Model Architecture, and Hyperparameter Tuning.- Fuzzy Methods and Modern Approaches.- Creation and Testing of a Coordinated Traffic Regulation Micromodel.- Analysis of Modern Approaches to the Study of the Application of Piezoelectric Tape Converters of Computer Science and Control of Technical Systems.- A Generalized Mathematical Approach to Solving Problems of Static Modes of Electrical Equipment and Devices.- Fuzzy Methods and Applications in Medicine.- Identification of Clinics' Activity Based on Information in Medical Social Media Resources by Applying Sentiment Analysis and Fuzzy Logic.- Development of Methods for Green Skills Assessment Based on Fuzzy Logic.