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This book constitutes selected papers presented at the First International Scientific and Practical Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2021, held as Virtual Event in January, 2021.
The 13 presented papers were thoroughly reviewed and selected from the 41 submissions. The conference was held with the aim of summarizing international experience in the field of information, digital and intellectual development, within which proposals were formulated for digital and information transformation, the development of computer models, information technologies, automated and computing processes. A distinctive feature of the conference is that it presented reports of authors from China, Uzbekistan, Lebanon, Poland, Kazakhstan, Bulgaria and Russia. Researchers from different countries presented the process of transition of the information and digital path of development, presented the main directions and developments that can improve the efficiency and development.
List of contents
Analysis of Domain Name Resolution Strategy of Local DNS Server in the Transition from IPv4 to IPv6.- Experimental Evaluation of the Efficiency of Compression of Files by Fractal-Spectral Codec.- An Intelligent Decision Support System for Solving Complex Territorial Planning Problems.- Fault tolerance of distributed worker processes in corporate information systems and technologies.- Functioning of the Thermal Memory Cell.- Using Data mining technology in monitoring and modeling the epidemiological situation of the human immunodeficiency virus in Kazakhstan.- Information Technology and Artificial Intelligence in Improving of Center Pivot Irrigation Control.- KOA Pathology Screening using Multi-channel VAG Signal Fusion Method.- Prioritization of Distributed Worker Processes Based on Etcd Locks.- Analysis of Methods for Classifying and Segmenting 3D Images.- Tone Image Processing with Discrete Data Structure.- The Concept of Client-Server Architecture for Remote Control of a Distributed Knowledge Base.- Experimental Study of Russian-language News Text Categorization Performance Using Machine Learning Algorithms.
