Computational Mathematics, Data Science and Artificial Intelligence
Description
This book discusses the technical foundations and practical applications of data science, machine learning, artificial intelligence (AI), and business intelligence. By aligning its themes with key Sustainable Development Goals (SDGs)-including SDG 2 (Zero Hunger), SDG 3 (Good Health and Well-being), SDG 9 (Industry, Innovation and Infrastructure), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), and SDG 16 (Peace, Justice and Strong Institutions)-the book underscores the transformative potential of intelligent data use in addressing global challenges.
Designed for decision-makers, analysts, researchers, policy leaders, and professionals with a working knowledge of data analytics, the book provides both inspiration and technical depth to navigate the evolving landscape of data-driven innovation. It presents chapters that guide the development and deployment of data-driven solutions across diverse domains. Going beyond theory, chapters in the book focus on real-world challenges and innovations-ranging from plant disease detection and epidemiology to bio-inspired materials, antineoplastic drugs, and Ebola response. Additional chapters examine the role of data in physiotherapy, brand management, social networking, sustainable production, graph theory, and optimization strategies.
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Persons
Kusum Deep is an Emeritus Professor in the Department of Mathematics and a former Joint Faculty at the MF School of Data Science and Artificial Intelligence, IIT Roorkee, India. She has held visiting professorships at Liverpool Hope University (UK), the University of Technology Sydney, and Curtin University, Perth. A Gold Medalist in MPhil from Panjab University, she earned her Ph.D. from the University of Roorkee (now IIT Roorkee) in 1988 and later completed a Post-Doctoral Fellowship at Loughborough University, UK, funded by the European Communities. She has received several prestigious awards, including the Khosla Research Award, UGC Career Award, AIAP Excellence Award, and the Uttarakhand "Excellence in Research of the Year 2022" Award. Recognized among the top 2% of scientists worldwide by Stanford University since 2019, she was awarded a POWER grant from SERB-DST in 2021. Since 2022, she has led a Deloitte-funded project on AI and ML. With 2 books and 160 research papers to her name, she has guided 25 Ph.D. scholars. A Senior Member of ORSI, CSI, IMS, and ISIM, she serves as an Editor for Engineering Applications of Artificial Intelligence. Her research focuses on nature-inspired optimization techniques, particularly evolutionary algorithms, swarm intelligence, artificial intelligence, and machine learning.
Atulya K. Nagar is the Foundation Chair Professor of Mathematical Sciences and Pro Vice-Chancellor (Research) at Liverpool Hope University, UK. A recipient of the prestigious Commonwealth Fellowship, he earned his doctorate (DPhil) in applied nonlinear mathematics from the University of York, UK, in 1996. He holds BSc (Hons), MSc, and MPhil (with distinction) in mathematical physics from MDS University, Ajmer, India. He is a Fellow of the Institute of Mathematics and Its Applications (FIMA) and the Higher Education Academy (FHEA). His research spans applied nonlinear analysis, natural computing, and systems engineering.
Radha Gupta is a Professor and Head of the Department of Mathematics at Dayananda Sagar College of Engineering, Bangalore. She earned her M.Sc. from Agra University and an M.Phil. from IIT Roorkee, securing a University Gold Medal. She completed her Ph.D. at Vikram University, Ujjain, and has held research and teaching positions at prestigious institutions. Honored with the President's Gold Medal, she has authored five books, over 50 research papers, and holds multiple patents. Her research interests include operations research, mathematical modeling, and statistical analysis.
Ramesh Katta is an Associate Professor in the Department of Mathematics and Deputy Dean (Internationalisation) at Sunway University, Malaysia. With over a decade of experience, he earned his Ph.D. in applied mathematics (physiological flow modeling) from Visvesvaraya National Institute of Technology, Nagpur, India, in 2016. He has supervised 3 Ph.D. theses and 6 M.Sc. projects and authored over 60 research papers. Ranked among the top 2% of researchers globally, he serves as a Guest Editor for Sustainability and is a lifetime member of several professional societies. His research focuses on mathematical modeling of bio-fluids, nanofluids, microfluidics, computational fluid dynamics, and magnetohydrodynamics.
Sowmya K. is an Assistant Professor at Dayananda Sagar College of Engineering, Karnataka, India. With over 16 years of teaching experience, she earned her master's in mathematics from Bangalore University, securing the 2nd rank. She later pursued a Ph.D. in graph theory at Visvesvaraya Technological University (VTU). A lifetime member of ADMA, she actively contributes to research in applied mathematics.
Content
Chapter 1 A Sustainability-Driven Fuzzy Logic Approach to Managing Imperfections in Inventory Systems.- Chapter 2 An Approachable Look at the Search for Big Data Analytics in Digital Media Distribution.- Chapter 3 An Adaptive Support Vector Machine (A-SVM) Plant Disease Detection using Transfer Learning.- Chapter 4 Cloud Adaptive Intrusion Response System (CAIRS): Multi-Domain Approach.- Chapter 5 The Research on Ethical Implications of AI in the Digital Economy.- Chapter 6 Some graph parameters of Ananta-Graphs in relation with the Collatz Conjecture.- Chapter 7 Collatz Sequence-Based Text Encryption and Decryption Framework with Iterative Key Transformation.- Chapter 8 Effect of Slip Boundary Conditions on the Stability of Casson Fluid Channel Flow.- Chapter 9 A Scientific Method for Allocating Delivery Agents to the Clients in Various Known Locations within a City.- Chapter 10 A Numerical Investigation of the Lyapunov Exponent on the critical line of the Riemann Zeta Function.- Chapter 11 FAKE NOTES DETECTION USING DEEP LEARNING TECHNIQUES.- Chapter 12 Homeownership, Housing Risk, and Optimal Asset Allocation: A Computational Analysis of Household Portfolios.- Chapter 13 Analyzing the Influence of Transpiration on Radiated Casson Fluid Flow with Suspended Flux in Non-Fourier Conditions.- Chapter 14 GOAL PROGRAMMING IN FINANCIAL PLANNING-CASE STUDY ABOUT JAAB COMPANY.- Chapter 15 SmartLeaf: A High-Precision CNN-Based System for Automated Multiclass Plant Disease Detection.- Chapter 16 A Hybrid Approach to Optimistic Rollups.- Chapter 17 A Comparative Study of Various Time Series Models Using Deep Learning for Traffic Optimization and Safety: A Review.- Chapter 18 Edge Induced Vertex Coloring of a Graph.- Chapter 19 e-Epidemic Model for managing the spread and containment of harmful viruses in computer networks.- Chapter 20 Development of Parachute System Models Using Python Script for ANSYS Workbench.- Chapter 21 Using Machine Learning and Optimization Techniques to assess and enhance Engineering Student Employability.- Chapter 22 Context-Aware Text-to-Braille Conversion: Enhancing Literary Accessibility for the Visually Impaired.- Chapter 23 Graph Theory Application in Social Networks.- Chapter 24 Enhancing Efficiency and Cost Optimization in Markovian Queueing System with Multiple Optional Jockeying.- Chapter 25 Quantum deep learning-based approach for Object Detection and Classification.- Chapter 26 A Novel Limit of ?-Q Group Acting on Doubt Homomorphsim of ?-Fuzzy Subgroup.- Chapter 27 Optimizing NGOs Efficiency and Success: A deterministic and stochastic approach.- Chapter 28 IOT BASED SMART ENERGY METER WITH REAL TIME MONITORING.- Chapter 29 Secure Library Management System - Including Mathematical Recommending Solution.- Chapter 30 A novel approach for gateway selection and efficient routing for interoperability in heterogeneous IoT network.- Chapter 31 Optimization of Sustainable centric Just in Time Inventory Model.- Chapter 32 Functional Link Artificial Neural Network Method for Integral Solutions.- Chapter 33 Interval - Valued Plithogenic MPSI-AROMAN Based Decision Approach in Optimal Selection of Bio-Inspired Materials for Sustainable Production.- Chapter 34 Investigating the Behavior of Meromorphic Functions Under the Reduced linear C-shift operator.- Chapter 35 On Nonnegative Total Signed Domination In Graphs.- Chapter 36 Demographic Trends and Population Dynamics in India: State-Wise Analysis and Projections for 2030.- Chapter 37 Structural and spectral analysis of co-essential and essential ideal graphs of a finite commutative ring.- Chapter 38 A Similarity Measure on Complex Fuzzy Soft Sets withApplications to Decision Making in Medical Diagnosis under Uncertainty.