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Creativity in Intelligent Technologies and Data Science: 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021, Proceedi

Creativity in Intelligent Technologies and Data Science: 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021, Proceedi (Paperback)

Maxim Shcherbakov, Peter P. Groumpos, Alla G. Kravets, Danila Parygin (엮은이)
Springer
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Creativity in Intelligent Technologies and Data Science: 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021, Proceedi
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· 제목 : Creativity in Intelligent Technologies and Data Science: 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021, Proceedi (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 그래픽
· ISBN : 9783030870331
· 쪽수 : 628쪽
· 출판일 : 2021-09-17

목차

Keynotes.- The meta COVID-19 pandemic period: a data science driven wise future planet?.- Adapting, Learning, and Control the Supply of a Vital Commodity such as COVID-19 Vaccine.- Artificial intelligence and Deep Learning Technologies for Creative Tasks. Knowledge Discovery in Patent and Open Sources.- Analyzing and Forecasting Emerging Technology Trends by Mining Web News.- Development of a Method for Intellectual Support of Inventive Activity Based on Deep Machine Learning Methods.- The measure of the technological complementarity between enterprises based on patent databases.- Relevant Image Search Method when Processing a Patent Array.- Artificial intelligence and Deep Learning Technologies for Creative Tasks. Open Science Semantic Technologies.- Chomsky Was (Almost) Right: Ontology-based Parsing of Texts of a Narrow Domain.- Creative Knowledge Representation for Knowledge Management: The Dialectical Approach.- Improvement of intent classification using diacritic restoration for text message in chatbot.- Numerical and Symbolic Integration in the MAPLE Package: Software for Antiplane Problems of the Non-Linear Elasticity Theory.- Artificial intelligence and Deep Learning Technologies for Creative Tasks. IoT and Computer Vision in Knowledge-Based Control.- Optimization of Internet of Things System.- Optimization of the intelligent controller rule base based on fuzzy clustering for controlling an object operating in changing conditions.- New communicative strategies for the affective robot: F-2 going tactile and complimenting.- The System of Intelligent Identification of Harmful Objects in the Field of Agriculture.- Cyber-Physical Systems and Big Data-driven world. Pro-Active Modeling in Intelligent Decision Making Support.- Formalization of the choice for optimal technological solutions.- Evaluation of the State Effectiveness in the Model of Control of Generalized Computational Experiment.- Comparative Study of the Innovative Activity Dynamics in the Russian Federation Using the Singular Spectrum Analysis.- Analysis of the competitiveness risks of food production enterprises using mathematical modelling methods.- System approach in organization of international students’ mobility.- Cyber-Physical Systems and Big Data-driven world. Design Creativity in CASE/CAI/CAD/PDM.- Development of a discrete slicer for additive manufacturing.- Automatic calculation of material laying trajectories when preparing 3D models for five-axis FFF printing with continuous fiber reinforcement.- Constructing equidistant curve for planar composite curve in CAD systems.- Data processing pipeline: from 3D surface scanning to coke drum residual life assessment.- Using Virtual Reality Systems for Crime Scene Reconstruction.- Cyber-Physical Systems and Big Data-driven world. Intelligent technologies in Urban Design and Computing.- Collection and consolidation of big data for proactive monitoring of critical events at infrastructure facilities in an urban environment.- Digital Technologies for Surveying Buildings and Structures.- Database of architectural patterns, heritage objects and plots for conceptual design of urban objects.- Computer aided evaluation of individual traffic road safety along a given route within the framework of the "driver-car-road-environment" system.- Development of a Methodology for Complex Monitoring of the Development of Urban and Suburban Areas based on the Intellectual Analysis of Earth Remote Sensing Data and Geospatial Technologies.- Fractal approach to automation of conceptual design of control systems’ elements by the intellectual building.- Intelligent Technologies in Social Engineering. Data Science in Social Networks Analysis and Cyber Security.- A secure and stable routing protocol for VANET under malicious attacks.- Proactive modeling in the assessment of the structural functionality of the subject of critical information infrastructure.- Data Processing Based on the Structure Oriented Evaluation Online Tool from SERVQUAL Model.- Expert & Technical Support for Investigation of Thefts Involving Malware Usage.- Biometrics databases as forensic registers.- Intelligent Technologies in Social Engineering. Educational Creativity and Game-Based Learning.- A set of tools for updating and personalizing educational programs and content in an intellectual learning environment.- Model for creating an adaptive individual learning path for training Digital Transformation Professionals and Big Data Engineers using Virtual Computer Lab.- E-Learning Evaluation based on SURE Model: Case of Mongolian University of Pharmaceutical Sciences.- E-Learning Evaluation based on SURE Model: Case of Mongolian University of Science and Technology.- Lee’s wave algorithm developed in Tower Defense (TD) game.- User Engagement Assessment for Adaptive Learning Systems.- Cybersecurity Specialists’ E-Learning Problems.- Intelligent Technologies in Social Engineering. Intelligent Assistive Technologies: Software Design and Application.- User Experience Analysis based on a Virtual Mark-up Approach.- Mobile Interface Personalization during the Application Usage Based on Patterns Ontology Model for People with Special Needs.- Development of Specialized Methods and Algorithms for Preventive Monitoring of Reliability .- Methodology for Preclinical Laboratory Research Using Machine Learning.

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Danila Parygin (엮은이)    정보 더보기
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