Digitalisation and Artificial Intelligence Using Mathematical and Computational Approaches: FAI-DAIRBM 2024, Baku, Azerbaijan, April 18–20 (Springer Proceedings in Mathematics & Statistics, 518) - Hardcover

Hardcover

ISBN 10: 9819535956 ISBN 13: 9789819535958

Verlag: Springer, 2026

Inhaltsangabe

This book is a collection of selected papers presented at the 28th FAI International Conference on Digitalisation and Artificial Intelligence Revolution in Business Management (28th FAI-DAIRBM 2024), held at UNEC Business School, Azerbaijan State University of Economics, Baku, Azerbaijan, from 18–20 April 2024. It discusses methodologies spanning fuzzy analytics, neural networks, nano-topology, statistical tools and business economics data analytics, making the book an essential resource for faculty, postgraduate students, research scholars and industry professionals seeking insights into computational analytics and mathematical modeling across diverse fields.

The book explores advanced mathematical concepts and computational intelligence approaches, addressing topics such as AI-powered tourism transformation, adaptive control systems, stochastic models for gas consumption forecasting and methods to enhance oilfield equipment reliability. It discusses topics on medical diagnostics, economic security models, traffic light detection by using AI, migration modeling, digitalisation trends, the role of the digital economy in socio-economic efficiency and COVID-19 detection via deep learning. It further analyzes the digitalization of educational products, interdependence models for macroeconomic indicators, digital accountability in communication services, the impact of digital marketing on consumer behavior, rare earth intermetallics, ICT effects on tourism exports in Azerbaijan and employee motivation influenced by financial and non-financial incentives.

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Pankaj Srivastava is Professor and Former Head in the Department of Mathematics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India. With over 36 years of teaching and research experience, his research areas include the design and development of soft computing intelligent systems with reference to medical diagnosis and tourism, fuzzy analytics, Ramanujan’s computational systems, tensor analysis and market research. He has published 130 research papers in respected international, national journals and conference proceedings. Currently, he is also serving as General Secretary at the FATER Academy of India (FAI), since August 2016.

Nina Poyda Nosyk is Professor in the Department of Accounting and Auditing, Ferenc Rakoczi II Transcarpathian Hungarian College of Higher Education, Berehove, Transcarpathia, Ukraine. She obtained her PhD degree in 2002 and the Doctor of Science degree in Economics in 2021. With more than 22 years of teaching experience, she has authored and co-authored more than 220 scientific publications, including books. Her key scientific interests are in the field of financial security, financial management, insurance, risk management and business analytics. Vice-President of FATER Academy of India, Foreign Associate Member of the Hungarian Academy of Sciences and a Full Member of the Chamber of Auditors and Accountants of Ukraine, she is the first Deputy Editor-in-Chief of Acta Academiae Beregsasiensis. Economics journal. She is also a moderator and co-organizer of numerous international conferences, workshops and webinars.

Nazim Ozbey Hajiyev is Associate Professor in the Department of Business Management, Azerbaijan State University of Economics, Baku, Azerbaijan, since 2017. He has been the Director of UNEC Business School since 2014. He was a visiting scholar at the Davis Center for Russian and Eurasian Studies at Harvard University, USA, during 2017–2018. He received his PhD in Economics in 2000 and was appointed as Assistant Professor in 2004 with the decision of the Higher Attestation Commission under the President of the Republic of Azerbaijan. He was a winner of the countrywide Olympic in Mathematics in 1980. Author of several book and more than 90 research papers, he has done 12 research work supported by more than 10 international and local grant projects (coordinator and expert), such as DAAD, USAID, UNDP, East West Management Institute (EWMI) in New York, and the Science Fund of the Azerbaijan Republic. He is Managing Editor of the Journal of Economic Sciences: Theory and Practice and Scientific Reviews at UNEC. He also serves as an editorial board member of the Journal of Global Economy Review. The major fields of his current research interest are applied economic issues, competition policy, socio-economic modeling, macroeconomic policy, macroeconomic forecasting, oil and gas prices forecasting. Currently, he is also serving as a Member of the Advisory Board of the FATER Academy of India (FAI), since August 2024.

Chai Ching Tan is a Senior Faculty in the National Institute of Development and Administration, Bangkok, Thailand. He is also a registered engineer with the Institute of Engineers Australia, and ISO 9001 Lead Auditor. Earlier, he served as Vice-President of a publicly listed company and Group Technical Manager of a multi-billion conglomerate. A graduate in mechanical engineering from the University of Wisconsin-Milwaukee, USA, and a doctorate degree in business administration from Southern Cross University, Australia, he is specialized in combustion, heat and mass transfer, tourism, business ethics, branding and consumer behaviours and strategic management. With over 270 research papers, he is currently serving as Foreign Secretary at the FATER Academy of India (FAI) since August 2021.

Von der hinteren Coverseite

This book is a collection of selected papers presented at the 28th FAI International Conference on Digitalisation and Artificial Intelligence Revolution in Business Management (28th FAI-DAIRBM 2024), held at UNEC Business School, Azerbaijan State University of Economics, Baku, Azerbaijan, from 18–20 April 2024. It discusses methodologies spanning fuzzy analytics, neural networks, nano-topology, statistical tools and business economics data analytics, making the book an essential resource for faculty, postgraduate students, research scholars and industry professionals seeking insights into computational analytics and mathematical modeling across diverse fields.

The book explores advanced mathematical concepts and computational intelligence approaches, addressing topics such as AI-powered tourism transformation, adaptive control systems, stochastic models for gas consumption forecasting and methods to enhance oilfield equipment reliability. It discusses topics on medical diagnostics, economic security models, traffic light detection by using AI, migration modeling, digitalisation trends, the role of the digital economy in socio-economic efficiency and COVID-19 detection via deep learning. It further analyzes the digitalization of educational products, interdependence models for macroeconomic indicators, digital accountability in communication services, the impact of digital marketing on consumer behavior, rare earth intermetallics, ICT effects on tourism exports in Azerbaijan and employee motivation influenced by financial and non-financial incentives.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 9819535956
• ISBN 13: 9789819535958
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 390
• Herausgeber: Srivastava Pankaj, Poyda-Nosyk Nina, Hajiyev Nazim Ozbey, Tan Chai Ching
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland