Preface xv 1 Introduction to AIIoT and CDNs 1 Priyanka Pramod Pawar, R. Kannan, R. Anand, Deepak Kumar, K. Arunprasath, A. Bhuvanesh and Tanusree Chatterjee 1.1 AIoT Explained: The Convergence of AI and IoT 2 1.2 The Interrelationship between AIoT and CDN 5 1.3 Advantages of AIoT in Content Distribution 7 1.
4 Major Challenges in the Integration of AIoT and CDN 10 1.5 Optimizing Latency and Network Efficiency 13 1.6 Real-Time Data Processing and Analytics 16 1.7 Scalability and Adaptability of AIoT-CDN Systems 18 1.8 AIoT and CDN Networks Security and Privacy 20 1.9 Future Trends in AIoT and CDN Technologies 22 1.10 Conclusion: Toward Smarter, Faster Digital Infrastructures 26 2 Predictive Caching Strategies Using Machine Learning for Seamless Content Access 31 Jagendra Singh, Monika Dandotiya, Shivani Agarwal, Kannan Srinivasan, Rahul Jadon and Guman Singh Chauhan 2.1 Introduction 32 2.
2 Related Work 33 2.3 Methodology 35 2.4 Result and Discussion 43 2.5 Conclusion 49 3 Artificial Intelligence in Context Delivery 53 Vaishnavi and Navneet Kumar 3.1 Introduction 54 3.2 Benefits of Machine Learning for Caching 58 3.3 Understanding Advanced CDN Architecture 59 3.4 Mechanisms Behind Context-Aware AI Systems 61 3.
5 Applications of AI in Context Delivery 61 3.6 Benefits of AI in Context Delivery 62 3.7 Challenges in Context Delivery (CD) 63 3.8 Summary and Discussion 63 3.9 Conclusion 66 4 Monetizing Cyberliterature through AI-Enhanced Networks in English Education System 69 Muthmainnah Muthmainnah, Luis Cardoso, Ahmad Al Yakin, Khristianto Khristianto, Widya Nirmalawati and Titik Wahyuningsih 4.1 Introduction 70 4.2 Literature Review 72 4.3 Methodology 80 4.
4 Findings and Discussions 83 4.5 Discussion 90 4.6 Conclusions 94 5 Understanding AI with IoT, Real-Time Applications in Image Dehazing 101 Malladi Sunder Rao and Dilip Kumar 5.1 Introduction 101 5.2 The Integration of AI and IoT 103 5.3 Introduction to Image Dehazing 105 5.4 The Dehazing Process Model 108 5.5 General Process of Dehazing or Haze Removal Model 109 5.
6 Datasets for the Dehazing Process 112 5.7 Network Section 112 5.8 Applications of Image Dehazing in AI IoT 113 5.9 Case Studies 114 5.10 Features of the PYNQ-Z2 Board 115 5.11 Advantages of Integrating AI with IoT 116 5.12 Application of the PYNQ-Z2 Board 117 5.13 Loss Function 118 5.
14 Conclusion 120 6 Data-Driven Optimization of Content Distribution: Leveraging AI for Personalization and Scalability 123 Jagendra Singh, Namita Nath, Lucky Gupta, Swapna Narla, Sreekar Peddi and Dharma Teja Valivarthi 6.1 Introduction 124 6.2 Problem Statement 125viii Contents 6.3 Literature Review 126 6.4 Methodology 128 6.5 Result and Discussion 136 6.6 Conclusion 143 7 Generative AI and Content Delivery Networks: Revolutionizing Content Delivery and Learning Management with AI-Driven Innovation 147 Kamini, Sanjay Kumar Sonker, Ashish Kumar, Manoj Kumar, Prem Prakash Agrawal and Ramendra Singh 7.1 Introduction 148 7.
2 Problem Statement 149 7.3 Literature Review 150 7.4 Methodology 151 7.5 Result and Discussion 161 7.6 Conclusion 168 8 Adaptive Video Streaming and Content Personalization Using Generative Models 171 Afreen Fatima Mohammed, Vijayalakshmi Chintamaneni, Jagendra Singh, Kalyan Gattupalli, Venkata Surya Bhavana Harish Gollavilli and Surendar Rama Sitaraman 8.1 Introduction 172 8.2 Problem Statement 173 8.3 Literature Review 174 8.
4 Methodology 175 8.5 Result and Discussion 184 8.6 Conclusion 190 9 Data Analytics and Real-Time Decision Making in Water Quality Prediction 193 Kajal Kumari, Sudip Kumar Sahana and Debjani Mustafi 9.1 Introduction 194 9.2 Related Work 195 9.3 Dataset Description 196 9.4 Methodology of Proposed Model 198 9.5 Experimental Setup 203 9.
6 Results and Discussion 204 9.7 Conclusion 208 10 Enhancing E-Commerce Security: A Framework of Integrated Vulnerability Assessment and Data Privacy Protection 213 Aftab Ara 10.1 Introduction 214 10.2 Literature Review 214 10.3 Findings 220 10.4 Conceptual Framework for E-Commerce Security 222x Contents 10.5 Discussions 224 10.6 Implications 225 10.
7 Conclusion 226 11 Enhancing Content Delivery Networks with Generative AI: Strategies, Applications, and Future Directions 231 Subhranil Das, Rashmi Kumari and Raghwendra Kishore Singh 11.1 Introduction 232 11.2 Fundamentals of Generative AI Techniques for CDNs 234 11.3 Intelligent Caching Strategies for CDNs with Generative AI 244 11.4 Ethical and Security Concerns in Generative AI for CDNs 250 11.5 Conclusion and Future Scope 253 12 An IoT-Enabled Indoor Tracking Base System (IITBS) for Human Activities Identification 259 Pulakesh Roy, Sushmita Chaudhari, Surabhi Solanki, Rajib Banerjee and Arindam Biswas 12.1 Introduction 260 12.2 Literature Review 261 12.
3 Structure Design 265 12.4 Outcomes and Performance 270 12.5 Conclusion 275 13 AI and IoT-Driven Machine Learning in CDNs: Advancing Diagnostic Precision in Breast Cancer Screening 279 Shubhranshu Gorai, Saibal Majumder, Ritik Maity, Mehuli Lahiri, Sovan Bhattacharya, Dola Sinha, Suchandra Banerjee and Chandan Bandyopadhyay 13.1 Introduction 280 13.2 Dataset Description 283 13.3 Methodology 286 13.4 Machine Learning Models 288 13.5 Performance Metrics 289 13.
6 Results and Discussions 291 13.7 Conclusion 303 14 Rethinking Cybersocialization in Posthumanist: An Evolution of University Curriculum Based on AIIoT Automation 307 Ahmad Al Yakin, Ali Said Al Matari, Abd. Ghofur, Muthmainnah Muthmainnah, Ahmed J. Obaid and Souvik Ganguli 14.1 Introduction 308 14.2 Literature Review 310 14.3 Methodology 320 14.4 Findings and Discussion 321 14.
5 Discussion 328 14.6 Conclusions 333 15 Future Trends and Innovation Education 7.0 by Adopting AIIoT Networks 341 Besse Darmawati, Ade Mulyanah, Adri Adri, Ratnawati Ratnawati, Resti Nurfaidah, Muthmainnah Muthmainnah and Souvik Ganguli 15.1 Introduction 342 15.2 Literature Review 344 15.3 Research Methodology 354 15.4 Findings and Discussion 356 15.5 Conclusion 365 References 366 Index 375.