Digitalisation and Artificial Intelligence Using Mathematical and Computational Approaches by Srivastava, Pankaj; Nosyk, Nina Poyda; Hajiyev, Nazim Ozbey; Tan, Chai Ching;

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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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Transforming Tourism with AI: A Data-driven Approach to Economic Improvement.- Remarks on N-soft Topological Space.- Numerical Solutions of the Mixed Problems with Nonclassical Boundary Conditions.- Under Uncertain Conditions Adaptive Control of Dynamic Objects.- The Mathematical Model for Assessing Ukraine’s Region’s Economic Security Level.- Fuzzy Intelligent Diagnostic System to Assess Human Health.- Traffic Light Detection and Counter Recognition using Video Images and Artificial Intelligence.- Simultaneous Equation Model of Interdependence between Ukrainian Macroeconomic Indicators.- Modelling and Management of Population Migration Factors and Philosophical Approach to their Research.- Regression Analysis of the Relationship of Bank Lending to the Real Sector of Economy and the Volume of GDP in Azerbaijan.- Digitalization of Educational Products and Services: Factors and Trends.- New Fixed-point Results for an Almost Soft Z_s-contraction.- The Impact of the Development of Digital Educational Products on Environmental Protection: Problems and Prospects.- Theorems on Fixed Points in Parametric Cone Metric Space.- Quantitative and Qualitative Assessment of the Problems Faced by Chemistry Teachers in Azerbaijan in the In-school Assessment Process.- Comparison of Analytical Solution of Current Density with its Experimental Result of an (Sandwich-Type) Amperometric Biosensor.- The Importance of the Digital Economy in Improving the Efficiency of the Socio-economic System in Azerbaijan.- Optimizing Risk Integrated Software Effort Estimation: A Differential Evolution Approach.- Impact of Financial and Non-financial Incentives on Employee Motivation.- Covid-19 Detection Based on Chest X-ray Learning Images using Deep Learning.- The Influence of Digital Marketing Strategies on Customers’ Online Buying Behavior.- Computational Study of Rare Earth Intermetallic.- Image Compression using VEDIC Methodology with SPHIT Algorithm for wireless Sensor Network.- How Do Oil and Gas Reserves Affect the Economic Growth of the CIS Countries: Evidence from Panel Data Regression.- Family Businesses in Digital Economy: Challenges and New Prospects.- Implementation Issues of Digital Accountability in Communication Services.- Assessing the ICT Impact on Tourism Services Exports in Azerbaijan.- Digitalization. Competition. Global economy.- Factors influencing Guizhou’s rural tourism destination loyalty: a combined Neural Network-Topsis-Structural Equation modeling analysis.