Yuriy P Kondratenko, Anatolii I Shevchenko
Research Tendencies and Prospect Domains for AI Development and Implementation
Yuriy P Kondratenko, Anatolii I Shevchenko
Research Tendencies and Prospect Domains for AI Development and Implementation
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This book analyzes AI implementation priorities and trends, exploring global and NATO strategies, with a focus on Ukraine's AI development. Part 1 covers worldwide AI priorities and educational impacts, while Part 2 examines new AI research trends, including quantum and color fuzzy computing, AI in shipbuilding, and neural networks.
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This book analyzes AI implementation priorities and trends, exploring global and NATO strategies, with a focus on Ukraine's AI development. Part 1 covers worldwide AI priorities and educational impacts, while Part 2 examines new AI research trends, including quantum and color fuzzy computing, AI in shipbuilding, and neural networks.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 154
- Erscheinungstermin: 18. November 2024
- Englisch
- Abmessung: 234mm x 156mm x 9mm
- Gewicht: 245g
- ISBN-13: 9788770046930
- ISBN-10: 877004693X
- Artikelnr.: 71236285
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 154
- Erscheinungstermin: 18. November 2024
- Englisch
- Abmessung: 234mm x 156mm x 9mm
- Gewicht: 245g
- ISBN-13: 9788770046930
- ISBN-10: 877004693X
- Artikelnr.: 71236285
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Yuriy Kondratenko is a Doctor of Science, Professor, Honour Inventor of Ukraine (2008), Corr. Academician of Royal Academy of Doctors (Barcelona, Spain), Corr. Academician of Royal Academy of Economic and Finance Sciences (Spain), Head of the Department of Intelligent Information Systems at Petro Mohyla Black Sea National University (PMBSNU), Leading Researcher at the Institute of Artificial Intelligence Problems of Ministry of Education and Science and National Academy of Sciences of Ukraine, Ukraine. He has received (a) a Ph.D. (1983) and Dr.Sc. (1994) in Elements and Devices of Computer and Control Systems from Odessa National Polytechnic University, (b) several international grants and scholarships for conducting research at Institute of Automation of Chongqing University, P.R.China (1988-1989), Ruhr-University Bochum, Germany (2000, 2010), Nazareth College and Cleveland State University, USA (2003), (c) Fulbright Scholarship for researching in USA (2015/2016) at the Dept. of Electrical Engineering and Computer Science in Cleveland State University. Research interests include robotics, automation, sensors and control systems, intelligent decision support systems, and fuzzy logic. Anatolii Shevchenko graduated from the Faculty of Physics at Donetsk State University with a major in Radio Physics and Electronics. In 1985, he defended his Ph.D. thesis, earning the academic degree of a candidate. In 1990, he completed his doctoral thesis, obtaining the academic degree of Doctor of Technical Sciences. In 1997, he was awarded the title of professor, and in 1998, he received the honorary title of Honored Scientist and Technician of Ukraine. In 2006, was elected as a Corresponding Member of the National Academy of Sciences of Ukraine in the field of Computer Systems. In 2015, he was appointed as the Director of the Institute of Artificial Intelligence of the Ministry of Education and Science of Ukraine and the National Academy of Sciences of Ukraine in Kyiv. Together with the Department of Informatics of the National Academy of Sciences of Ukraine, he initiated an international scientific journal called "Artificial Intelligence" and was appointed as its chief editor. His research interests encompass various aspects of artificial intelligence, modeling human intelligence, simulating elements of human consciousness, breakthrough technologies in the field of artificial intelligence, and multidisciplinary aspects of artificial intelligence.
1. Analysis of the Prospect Domains in AI Implementation: Nationals, NATO
and Ukraine AI Strategies 2. Interrelation and Inter-influence of
Artificial Intelligence and Higher Education Systems 3. Multivariate
Information Systems and Polymetric Sensors: AI Implementation Perspective
in Shipping and Shipbuilding 4. There is still plenty of room at the
bottom: Feynman's Vision of Quantum Computing 65 Years Later 5. Decision
Support System for Maintenance Planning of Vortex Electrostatic
Precipitators Based on IoT and AI Techniques 6. Leveraging Pre-Trained
Neural Networks for Image Classification in Audio Signal Analysis for
Mobile Applications of Home Automation 7. Effectiveness Evaluations of
Optical Color Fuzzy Computing
and Ukraine AI Strategies 2. Interrelation and Inter-influence of
Artificial Intelligence and Higher Education Systems 3. Multivariate
Information Systems and Polymetric Sensors: AI Implementation Perspective
in Shipping and Shipbuilding 4. There is still plenty of room at the
bottom: Feynman's Vision of Quantum Computing 65 Years Later 5. Decision
Support System for Maintenance Planning of Vortex Electrostatic
Precipitators Based on IoT and AI Techniques 6. Leveraging Pre-Trained
Neural Networks for Image Classification in Audio Signal Analysis for
Mobile Applications of Home Automation 7. Effectiveness Evaluations of
Optical Color Fuzzy Computing
1. Analysis of the Prospect Domains in AI Implementation: Nationals, NATO
and Ukraine AI Strategies 2. Interrelation and Inter-influence of
Artificial Intelligence and Higher Education Systems 3. Multivariate
Information Systems and Polymetric Sensors: AI Implementation Perspective
in Shipping and Shipbuilding 4. There is still plenty of room at the
bottom: Feynman's Vision of Quantum Computing 65 Years Later 5. Decision
Support System for Maintenance Planning of Vortex Electrostatic
Precipitators Based on IoT and AI Techniques 6. Leveraging Pre-Trained
Neural Networks for Image Classification in Audio Signal Analysis for
Mobile Applications of Home Automation 7. Effectiveness Evaluations of
Optical Color Fuzzy Computing
and Ukraine AI Strategies 2. Interrelation and Inter-influence of
Artificial Intelligence and Higher Education Systems 3. Multivariate
Information Systems and Polymetric Sensors: AI Implementation Perspective
in Shipping and Shipbuilding 4. There is still plenty of room at the
bottom: Feynman's Vision of Quantum Computing 65 Years Later 5. Decision
Support System for Maintenance Planning of Vortex Electrostatic
Precipitators Based on IoT and AI Techniques 6. Leveraging Pre-Trained
Neural Networks for Image Classification in Audio Signal Analysis for
Mobile Applications of Home Automation 7. Effectiveness Evaluations of
Optical Color Fuzzy Computing