Yuriy p kondratenko (173 risultati)

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Paperback. Condizione: New. This River Rapid explores artificial intelligence (AI) implementation priorities, prospect domains, and new research tendencies and trends for AI development and implementation. Part 1 is devoted to the world's priorities in AI implementation. Its main components are based on the analysis of the 50 National strategies for AI development, the world's and NATO's priorities in AI's implementation, and methodological aspects for creating the Ukrainian AI conception and strategy, key priority areas for the introduction of AI in Ukraine, the conscience approach to AI systems design, and the discussion on the new generation computer system with embedded AI. Special attention is paid to perspectives of AI implementation in education and interrelation and inter-influence between AI and educational systems.Part 2 is devoted to some new tendencies in AI development and implementation. Many scientific results and discussions are directed to some new trends in contemporary AI research: AI systems and tools for shipping and shipbuilding; quantum computing and color optical fuzzy computing in applied AI's RandD; AI for increasing the efficiency of the decision-making processes; neural networks for solving classification and recognition tasks.This book provides an overview of the recent developments in advanced AI systems including new theoretical findings and successful examples of practical implementation of the AI tools in different areas of human activities. The chapters are presented by invited high-caliber scientists from different countries (Ukraine, the United States of America, Poland, Norway, and the People's Republic of China).…

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Hardcover. Condizione: Fine. 1st Edition. Hardcover, xxxii + 329 pages, NOT ex-library. Book looks unread, clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- This technical volume is organized into two sections, one dealing with theoretical advancements in control systems and the other with a diverse range of applied implementations. The first part focuses on discrete-time and nonlinear systems, introducing mathematical tools and strategies for managing bounded perturbations and maintaining system invariance. Topics include methods for constructing interval invariant sets for nonlinear discrete systems using multivalued mappings and norm-based bounds, addressing stability through criteria based on Lyapunov functionals. A further contribution applies conflict-controlled game theory to the motion control of dynamic systems, particularly fractional systems, with emphasis on strategy formulation under conditions of incomplete or delayed information. Another chapter investigates cognitive maps in impulse process control, combining deterministic and noisy identification scenarios with applications in automating decision structures, such as human resources management systems. In the context of supply chains, a study on decentralized guaranteed cost inventory control presents a framework for managing uncertainty and transport delays using ellipsoidal approximation and Lyapunov-based stability conditions. The final theoretical contribution explores a method of nondimensionalization to reduce the number of modeling parameters in complex nonlinear systems, improving computational tractability while retaining the essential dynamics through self-similarity criteria. The second part of the book is centered on real-world applications across various industries. One chapter focuses on improving energy efficiency in intelligent control systems by modeling situational-event dynamics using fuzzy logic and probabilistic frameworks. Another presents an ellipsoidal filtering method for estimating the pose of uncooperative spacecraft from visual data, applying machine learning to reduce computational overhead in pose recognition. A detailed study of fuzzy control design for floating docks examines the optimization of control parameters for low-tonnage vessel operations using a hybrid method of expert rules and numerical tuning. In the context of food production, the volume addresses efficiency control in multi-assortment processes, modeling decision-making under risk and uncertainty and using logical-dynamic structures to manage batch variability. The coordinate determination of satellite imagery is treated through various geometric calibration algorithms, with attention to stereoscopic methods, photogrammetry, and in-flight error correction. Other chapters include the development of robotic electrotechnical systems for greenhouse environments, where algorithms manage real-time phytomonitoring and atmospheric adjustment, and the use of spectral imaging systems for remote crop monitoring, integrating infrared and visible-spectrum data to optimize harvesting strategies and biomass usage in bioenergy production. A final contribution presents a combined multivariable stabilization system for controlling adsorption processes in hydrogen purification, minimizing thermodynamic losses through a dual-circuit control architecture. Throughout the volume, emphasis is placed on practical algorithms, simulation models, and engineering applicability. Theoretical rigor is paired with examples from aerospace, agriculture, manufacturing, and remote sensing, demonstrating how control systems can be adapted to various physical and organizational constraints. The coverage of robust control design, system modeling under uncertainty, and cross-domain applications provides a foundation useful for postgraduate education, systems engineering, and applied research.…

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Paperback. Condizione: New. This River Rapid provides a timely analysis of the state of the art and future perspectives of artificial intelligence (AI) in education. Drawing on international expertise and successful case studies, it explores both the opportunities AI creates for teaching and learning and the challenges posed by its uncontrolled use by students and schoolchildren.The book is structured into seven research-analytic chapters authored by leading scholars from Norway, Poland, Ukraine, and the United States. Together, they present a comprehensive picture of AI's growing role in educational systems worldwide. Topics include:An overview and comparative review of large language models.Analysis of successful AI applications in education based on global best practices.Strategies for bilingual education supported by AI tools.Risks of unsupervised AI use by pupils and students, both in education and on social media.The relationship between machine learning and human learning, with attention to pedagogical advances inspired by AI.Future directions for AI in enhancing teaching and learning processes.The unique dynamics of digital transformation and AI adoption in the Ukrainian education system.By combining international perspectives with focused case studies, AI in Education Systems provides both theoretical insights and practical strategies for educators, policymakers, and researchers. It highlights AI's potential to significantly improve learning outcomes while addressing ethical concerns, pedagogical challenges, and the importance of guiding its responsible use.…

Paperback. Condizione: new. Paperback. This River Rapid provides a timely analysis of the state of the art and future perspectives of artificial intelligence (AI) in education. Drawing on international expertise and successful case studies, it explores both the opportunities AI creates for teaching and learning and the challenges posed by its uncontrolled use by students and schoolchildren.The book is structured into seven research-analytic chapters authored by leading scholars from Norway, Poland, Ukraine, and the United States. Together, they present a comprehensive picture of AIs growing role in educational systems worldwide. Topics include:An overview and comparative review of large language models.Analysis of successful AI applications in education based on global best practices.Strategies for bilingual education supported by AI tools.Risks of unsupervised AI use by pupils and students, both in education and on social media.The relationship between machine learning and human learning, with attention to pedagogical advances inspired by AI.Future directions for AI in enhancing teaching and learning processes.The unique dynamics of digital transformation and AI adoption in the Ukrainian education system.By combining international perspectives with focused case studies, AI in Education Systems provides both theoretical insights and practical strategies for educators, policymakers, and researchers. It highlights AIs potential to significantly improve learning outcomes while addressing ethical concerns, pedagogical challenges, and the importance of guiding its responsible use. AI in Education Systems examines global experiences with AI in teaching and learning. Covering large language models, bilingual education, risks of uncontrolled use, and future applications, it blends international case studies and research to highlight how AI can enhance education while addressing ethical and social challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condizione: New. This River Rapid provides a timely analysis of the state of the art and future perspectives of artificial intelligence (AI) in education. Drawing on international expertise and successful case studies, it explores both the opportunities AI creates for teaching and learning and the challenges posed by its uncontrolled use by students and schoolchildren.The book is structured into seven research-analytic chapters authored by leading scholars from Norway, Poland, Ukraine, and the United States. Together, they present a comprehensive picture of AI's growing role in educational systems worldwide. Topics include:An overview and comparative review of large language models.Analysis of successful AI applications in education based on global best practices.Strategies for bilingual education supported by AI tools.Risks of unsupervised AI use by pupils and students, both in education and on social media.The relationship between machine learning and human learning, with attention to pedagogical advances inspired by AI.Future directions for AI in enhancing teaching and learning processes.The unique dynamics of digital transformation and AI adoption in the Ukrainian education system.By combining international perspectives with focused case studies, AI in Education Systems provides both theoretical insights and practical strategies for educators, policymakers, and researchers. It highlights AI's potential to significantly improve learning outcomes while addressing ethical concerns, pedagogical challenges, and the importance of guiding its responsible use.…

Condizione: New. 2026. 1st Edition. paperback. . . . . .

Paperback. Condizione: Brand New. 120 pages. 9.18x6.12x9.21 inches. In Stock.

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