Devasis Pradhan is the Assistant Director of Research at Acharya Institutes, and the Dean of Research at the Acharya Institute of Technology, Bangalore, India. His research specializes in AI, communication networks, computational intelligence, data analytics and emerging digital technologies.Hla Myo Tun is the Rector of Yangon Technological University, Myanmar. His research specializes in intelligent systems, engineering technologies, data analytics and next-generation communication infrastructures.David Banjerdpongchai is a Professor at Chulalongkorn University, Thailand. His research specializes in advanced computing, AI, smart technologies and interdisciplinary engineering applications.Prasenjit Chatterjee is a Professor and Dean (Research and Consultancy) at MCKV Institute of Engineering, India. His expertise specializes in decision analytics, sustainable systems, operations management and AI-driven engineering innovation.

• Preface xiDevasis PRADHANAcknowledgments xvDevasis PRADHAN, Hla MYO TUN, David BANJERDPONGCHAI and Prasenjit CHATTERJEEChapter 1. Detection of Heart Disease and Survival Prediction Using Effective ML Methodologies 1Sudhir K.1.1. Introduction 11.2. Types of heart diseases 21.3. Diseases overview 31.4. Methodologies for disease prediction 31.5. Measurements and metrics 81.6. Results analysis 111.7. Comparison of classification models 111.8. Conclusion 121.9. References 13Chapter 2. Online Group Purchase Influencing the Customers Buying Decision 15Kiran L. MANEY, Abhishek VENKTESHWAR and VARALAKSHMI2.1. Introduction 152.2. Literature review 172.3. Methodology 192.4. Hypothesis 202.5. Conclusion 272.6. References 28Chapter 3. Python-Driven Renko Chart Analysis for Identifying Trends and Selecting Stocks for Medium-Term Trading 33S. SANDHYA and Hemachandra G.3.1. Introduction 333.2. Strategic stock selection using fundamental and technical analysis 353.3. The harsh reality of speculation 373.4. Python implementation of Renko charts 383.5. Results and discussions 393.6. References 43Chapter 4. Exploring Immersive Data Visualization Techniques: A Comparative Analysis of Interaction Methods 45Satish KUNBI4.1. Introduction 454.2. Immersive visualization methods 474.3. Hardware 494.4. Interaction technique overview 504.5. Interaction in immersive visualizations 524.6. Tools and examples 554.7. Discussion 574.8. Conclusion 584.9. References 59Chapter 5. The Impact of HR Policies on Employee Satisfaction, Inclusion and Support in Remote Work Settings 63Divya Mableshwar HEGDE and Anandrao Kishan KUMBHAR5.1. Introduction 635.2. Literature review 655.3. Objectives 675.4. Conceptual model and hypotheses 685.5. Methodology 685.6. Results 705.7. Discussion 745.8. Conclusion 775.9. References 77Chapter 6. Implementing Incare Product Packaging Development with Augmented Reality (AR) Technology for Gen Z Consumers with Assemblr 81Khotop DAKOTI, Muhammad Fajar ARIWIBOWO and JESSICA6.1. Introduction 816.2. Research method 826.3. Results 846.4. Conclusion 876.5. References 87Chapter 7. Implementation of Earthquake Disaster Mitigation Simulation at Budi Luhur University: A SWOT Analysis in the Context of Preparedness in High-Rise Buildings 91Didik Hariyadi RAHARJO7.1. Introduction 917.2. Methodology 937.3. Results and discussions 947.4. Conclusion 957.5. Acknowledgments 967.6. References 96Chapter 8. AI and Financial Literacy: Bridging the Knowledge Gap Through Technology 99Rohith B., Bhavya V.M., Channakeshava H.C. and Dhanalakshmi C.8.1. Introduction 1008.2. Conceptual background 1008.3. Literature review 1018.4. Analysis of financial attitudes and behavior 1098.5. Analysis of AI familiarity and usefulness 1108.6. Hypothesis testing 1118.7. Conclusion 1138.8. References 113Chapter 9. LGBTQ+ Inclusion in Digital Spaces: A Descriptive Overview 115Javad GHALAMBOR9.1. Introduction 1159.2. Evolution of LGBTQ+ presence in digital spaces 1179.3. LGBTQ+ representation in digital media and platforms 1209.4. Challenges faced by LGBTQ+ individuals in digital spaces 1229.5. Digital platforms and inclusivity policies 1259.6. Future of LGBTQ+ inclusion in digital spaces 1279.7. References 129Chapter 10. Impact of Generative AI on Students' Mental Well-being: Examining Academic Stress, Ethical Concerns and Cognitive Dependence 135Lokeshwari D.V. and Rukmini N.10.1. Introduction 13610.2. Conceptual framework 13710.3. Literature review 13710.4. Academic stress and mental health in students 13810.5. Effects of generative AI on academic stress 13910.6. Cognitive and behavioral dependence 13910.7. Psychological and emotional impact 14010.8. Methodology 14110.9. Results 14210.10. Suggestions and conclusions 14610.11. References 148Chapter 11. Aligning Corporate Goals with Environmental and Social Impact: A Study of Sustainable CSR Practices in Selected Indian IT Companies 151Pushpalatha P., Jalaja K.R. and Geetha P.11.1. Introduction 15111.2. A new era in CSR: new leadership and urgent action 15211.3. TCS Limited and its CSR spending 15411.4. Infosys 15411.5. HCL Foundation and corporate social responsibility (CSR) philosophy 15511.6. Corporate social responsibility projects in action 15511.7. Wipro CSR initiatives 15511.8. LTIMindtree and its corporate social responsibility 15611.9. Conclusion 16111.10. References 162Chapter 12. Traversing Innovative Leadership with Data-Driven Decision-making by Organizational Diagnosis: A Descriptive Study among SMEs in the UAE 163Parameswaran HIMA12.1. Introduction 16412.2. Theoretical background and formulation of hypotheses 16712.3. Methodology 17012.4. Analysis of data 17212.5. Findings and recommendations 17612.6. Conclusion 17912.7. References 181List of Authors 185Index 189