Digitalisation and Artificial Intelligence Using Mathematical and Computational Approaches
FAI-DAIRBM 2024, Baku, Azerbaijan, April 18–20
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Beschreibung
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.
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.
Discusses mathematical concepts and computational intelligence approaches in business, science and technology Presents methodologies spanning fuzzy analytics, neural networks, nano-topology and statistical tools Focusses on topics on medical diagnostics, economic security, traffic light detection, digital economy and deep learning
Autor*in
Pankaj Srivastava
Themen in »Digitalisation and Artificial Intelligence Using Mathematical and Computational Approaches«
soft computating 28th FAI-DAIRBM 2024 tourism N-soft topological space boundary conditions dynamic objects stochastic forecasting oil and natural gas business and economics human health fuzzy intelligent diagnostic system traffic light detection counter recognition macroeconomic indicators population migration