{"product_id":"edge-of-intelligence-exploring-the-frontiers-of-ai-at-the-edge-hardback-9781394314379","title":"Edge of Intelligence; Exploring the Frontiers of AI at the Edge (Hardback) 9781394314379","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eEdge of Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eExploring the Frontiers of AI at the Edge\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eShubham Mahajan (Edited by), Mahajan (Author), Sathyan Munirathinam (Edited by), Pethuru Raj (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394314379, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 March 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e464 pages\u003cbr\u003e25 x 15 x 1.5 cm, 0.85 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThe book offers cutting-edge insights and practical applications for Edge AI, making it essential for anyone looking to stay ahead in the rapidly evolving landscape of artificial intelligence and Edge computing.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eEdge of Intelligence: Exploring the Frontiers of AI at the Edge\u003c\/i\u003e examines the transformative potential of edge AI, showcasing how artificial intelligence is being seamlessly integrated with Edge computing to revolutionize various industries. This book offers a comprehensive overview of the latest research, trends, and practical applications of Edge AI, providing readers with valuable insights into how this cutting-edge technology is enhancing efficiency, reducing latency, and enabling real-time decision-making. From optimizing vehicular networks in the era of 6G to the innovative use of AI in crop monitoring and educational technology, this book covers a broad spectrum of topics, making it an essential read for anyone interested in the future of AI and Edge computing. \u003c\/p\u003e\n\u003cp\u003eFeaturing contributions from leading experts and researchers, \u003ci\u003eEdge of Intelligence\u003c\/i\u003e highlights real-world examples and case studies that demonstrate the practical implementation of edge AI in diverse sectors such as smart cities, recruitment, and nano-process optimization. The book also addresses critical issues related to privacy, security, and the fusion of blockchain with edge computing, providing a holistic view of the challenges and opportunities in this rapidly evolving field. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eEngineers, data scientists, IT professionals, researchers, and academics in the fields of artificial intelligence, computer science, and telecommunications, as well as industry professionals in sectors such as the automotive, agriculture, education, and urban planning industries.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 A Review on Computational Optimization Strategies and Collaborative Techniques of Vehicular Task Offloading in the Era of Internet of Vehicles and 6G 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAishwarya R., V. Vetriselvi and Meignanamoorthi D.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Computational Optimization Strategies 7\u003c\/p\u003e \u003cp\u003e1.3 Collaborative Techniques 29\u003c\/p\u003e \u003cp\u003e1.4 Security 34\u003c\/p\u003e \u003cp\u003e1.5 Challenges and Future Research Directions 39\u003c\/p\u003e \u003cp\u003e1.6 Conclusion 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 A Study on EDGE AI Application in Crop Monitoring 51\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eN.A. Natraj, Pethuru Raj, M. Karpagam and S. Gunanandhini\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 52\u003c\/p\u003e \u003cp\u003e2.2 Crop Monitoring AI Basics 57\u003c\/p\u003e \u003cp\u003e2.3 AI Applications in Crop Monitoring 60\u003c\/p\u003e \u003cp\u003e2.4 Challenges and Possible Future Paths of AI in Crop Monitoring 65\u003c\/p\u003e \u003cp\u003e2.5 Conclusion 70\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 A Survey on Reconfigurable Co-Processors Computing Linear Transformations 73\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAtri Sanyal and Amitabha Sinha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Different Linear Transforms 74\u003c\/p\u003e \u003cp\u003e3.2 Reconfigurable Computing 75\u003c\/p\u003e \u003cp\u003e3.3 Field Programmable Gate Array 78\u003c\/p\u003e \u003cp\u003e3.4 Survey of Existing Work 82\u003c\/p\u003e \u003cp\u003e3.5 Performance Comparison of Different Reconfigurable Co-Processors Implementing Linear Transformation(s) 86\u003c\/p\u003e \u003cp\u003e3.6 Conclusions and Future Work 88\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Conversational AI Model for Effective Responses with Augmented Retrieval (CAMERA) Based Chatbot on NVIDIA Jetson Nano 93\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKiran Jot Singh, Divneet Singh Kapoor, Amit Singh Bora, Khushal Thakur and Anshul Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 94\u003c\/p\u003e \u003cp\u003e4.2 Background 100\u003c\/p\u003e \u003cp\u003e4.3 Literature Review 103\u003c\/p\u003e \u003cp\u003e4.4 Proposed Framework 108\u003c\/p\u003e \u003cp\u003e4.5 Results 112\u003c\/p\u003e \u003cp\u003e4.6 Conclusion and Future Scope 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Edge Computing in Educational Technology: The Power of Edge AI for Dynamic and Personalized Learning 121\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eGaneshayya Shidaganti, V. Aditya Raj, V.R. Monish Raman and Shubeeksh Kumaran\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction: Unveiling the Potential of Edge AI in Educational Technologies 122\u003c\/p\u003e \u003cp\u003e5.2 Challenges of Traditional Education in the Digital Age 122\u003c\/p\u003e \u003cp\u003e5.3 Edge Computing and AI: Revolutionizing Educational Dynamics 126\u003c\/p\u003e \u003cp\u003e5.4.1 Methodology 132\u003c\/p\u003e \u003cp\u003e5.5 Benefits of the Edge AI for Learning 139\u003c\/p\u003e \u003cp\u003e5.6 Discussions on Edge AI for Education 142\u003c\/p\u003e \u003cp\u003e5.7 Ethical Considerations in Edge AI for Educational Settings 144\u003c\/p\u003e \u003cp\u003e5.8 Future of Education with Edge AI 147\u003c\/p\u003e \u003cp\u003e5.9 Conclusion 149\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Edge Computing Revolution: Unleashing Artificial Intelligence Potential in the World of Edge Intelligence 153\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSaravanan Chandrasekaran, S. Athinarayanan, M. Masthan, Anmol Kakkar, Pranav Bhatnagar and Abdul Samad\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 154\u003c\/p\u003e \u003cp\u003e6.2 Definitions 157\u003c\/p\u003e \u003cp\u003e6.3 Concepts and Architecture 160\u003c\/p\u003e \u003cp\u003e6.4 Algorithms for Artificial Intelligence in Edge Computing 163\u003c\/p\u003e \u003cp\u003e6.5 Optimization of Edge Devices Using a Class of Neural Networks 166\u003c\/p\u003e \u003cp\u003e6.6 Bio-Inspired Algorithms for Edge Computing 169\u003c\/p\u003e \u003cp\u003e6.7 Real-Time Intelligence-Based Edge Device 172\u003c\/p\u003e \u003cp\u003e6.8 Conclusion 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Ensuring Privacy and Security in Machine Learning: A Novel Approach to Efficient Data Removal 193\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVelammal B. L. and Aarthy N.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 193\u003c\/p\u003e \u003cp\u003e7.2 Related Works 195\u003c\/p\u003e \u003cp\u003e7.3 Objectives 197\u003c\/p\u003e \u003cp\u003e7.4 System Design 198\u003c\/p\u003e \u003cp\u003e7.5 Experimental Results 206\u003c\/p\u003e \u003cp\u003e7.6 Conclusion and Future Scope 212\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Federated Learning in Secure Smart City Sensing: Challenges and Opportunities 215\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMonika Gandhi, Sushil Kumar Singh, Ravikumar R. N. and Krunal Vaghela\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 216\u003c\/p\u003e \u003cp\u003e8.2 Related Work 218\u003c\/p\u003e \u003cp\u003e8.3 Federated Learning-Based Smart Cities Sensing Architecture for IoT-Enabled Smart Cities Sensing 232\u003c\/p\u003e \u003cp\u003e8.4 Open Issues, Related Challenges and Opportunities 239\u003c\/p\u003e \u003cp\u003e8.5 Conclusions 246\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Fusion of Blockchain and Edge Computing for Seamless Convergence 253\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eIndu Bala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction to Blockchain and Edge Computing 254\u003c\/p\u003e \u003cp\u003e9.2 Key Components of Blockchain and Edge Integration 258\u003c\/p\u003e \u003cp\u003e9.3 Challenges and Opportunities in Integration 261\u003c\/p\u003e \u003cp\u003e9.4 Security Considerations in a Converged Environment 264\u003c\/p\u003e \u003cp\u003e9.5 Use Cases and Applications 265\u003c\/p\u003e \u003cp\u003e9.6 Benefits of Blockchain and Edge Integration 268\u003c\/p\u003e \u003cp\u003e9.7 Regulatory and Compliance Issues 269\u003c\/p\u003e \u003cp\u003e9.8 Future Trends and Innovations 271\u003c\/p\u003e \u003cp\u003e9.9 Recommendations 274\u003c\/p\u003e \u003cp\u003e9.10 Conclusion 276\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Industry Adapting the Machine Learning Scenario in Recruitment and Selection of Employees 279\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMegha Ojha, Vinay Kandpal, Archana Singh and Amar Kumar Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 280\u003c\/p\u003e \u003cp\u003e10.2 Evolution of Machine Learning in Recruitment 280\u003c\/p\u003e \u003cp\u003e10.3 Methodological Insights and Study Contexts 281\u003c\/p\u003e \u003cp\u003e10.4 Ensuring Reliability and Replicability 283\u003c\/p\u003e \u003cp\u003e10.5 Ethical Implications of ML in Hiring 288\u003c\/p\u003e \u003cp\u003e10.6 Addressing Ethical Concerns in Real-World Applications 289\u003c\/p\u003e \u003cp\u003e10.7 Ensuring Data Privacy in ML Models for Hiring 289\u003c\/p\u003e \u003cp\u003e10.8 Areas for Future Research in ML for Hiring 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Machine Learning for Nano Process Optimization 307\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eManjushree Nayak and A. Sai Satya Narayana\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 308\u003c\/p\u003e \u003cp\u003e11.2 Literature Review 309\u003c\/p\u003e \u003cp\u003e11.3 Conclusion 323\u003c\/p\u003e \u003cp\u003e12 Quantum Computing for Cryptography: An Extensive Survey 327\u003c\/p\u003e \u003cp\u003eSoma Debnath and Avishake Adhikary\u003c\/p\u003e \u003cp\u003e12.1 Introduction 328\u003c\/p\u003e \u003cp\u003e12.2 Related Works 336\u003c\/p\u003e \u003cp\u003e12.3 Statistical Analysis 339\u003c\/p\u003e \u003cp\u003e12.4 Comparative Analysis 341\u003c\/p\u003e \u003cp\u003e12.5 Conclusion and Future Scope 345\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Role of Blockchain Technology in e-HRM in the Era of Artificial Intelligence: Focus on the Indian Market 351\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eArchana Singh, Girish Lakhera, Megha Ojha and Amar Kumar Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 351\u003c\/p\u003e \u003cp\u003e13.2 Literature Review 354\u003c\/p\u003e \u003cp\u003e13.3 Blockchains for Business and EHRM 357\u003c\/p\u003e \u003cp\u003e13.4 Case Studies 361\u003c\/p\u003e \u003cp\u003e13.6 Ethical Implications of Implementing Blockchain in HRM 362\u003c\/p\u003e \u003cp\u003e13.7 Conclusion 364\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Smart City Innovations and IoT as a Frontier of AI at the Edge of Intelligence 369\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePriya Soni\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction: Smart City Innovations and Internet of Things for Data Analytics 370\u003c\/p\u003e \u003cp\u003e14.2 Concept of Smart Cities and the Significance of Data-Driven Decision-Making 371\u003c\/p\u003e \u003cp\u003e14.3 Fundamental Components of Data Analytics in Smart Cities 373\u003c\/p\u003e \u003cp\u003e14.4 Advanced-Data Analytics Techniques 375\u003c\/p\u003e \u003cp\u003e14.5 Uses of IoT-Enabled Data Analytics in Smart Cities 381\u003c\/p\u003e \u003cp\u003e14.6 Challenges and Considerations 382\u003c\/p\u003e \u003cp\u003e14.7 Future Prospects and Emerging Trends of Smart City Innovations and Internet of Things (IoT) for Data Analytics 384\u003c\/p\u003e \u003cp\u003e14.8 Indian Case Studies: Successful Implementations on Smart City Innovations and Internet of Things for Data Analytics 386\u003c\/p\u003e \u003cp\u003e14.9 Conclusion 388\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Synergies Unleashed: The Convergence of AI and Edge Computing in Transformative Technologies 391\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eR. Shobarani, P. Dhivya, G. Savitha, S. Santhi, K. Surya Prakhash and R. Kavitha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 392\u003c\/p\u003e \u003cp\u003e15.2 Related Study 395\u003c\/p\u003e \u003cp\u003e15.3 Reduction of Latency 400\u003c\/p\u003e \u003cp\u003e15.4 Bandwidth Efficiency 401\u003c\/p\u003e \u003cp\u003e15.5 Privacy and Security 402\u003c\/p\u003e \u003cp\u003e15.6 Real-Time Decision-Making: Decision Made with an Example 405\u003c\/p\u003e \u003cp\u003e15.7 Distributed Architecture: Decentralized Processing Occurs with an Example 407\u003c\/p\u003e \u003cp\u003e15.8 Edge Computing Use Cases 410\u003c\/p\u003e \u003cp\u003e15.9 Challenges and Advancements 412\u003c\/p\u003e \u003cp\u003e15.10 Future Trends 423\u003c\/p\u003e \u003cp\u003e15.11 Conclusion 430\u003c\/p\u003e \u003cp\u003eReferences 431\u003c\/p\u003e \u003cp\u003eIndex 433\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433742266648,"sku":"9781394314379","price":162.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394314379.jpg?v=1784853681","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/edge-of-intelligence-exploring-the-frontiers-of-ai-at-the-edge-hardback-9781394314379","provider":"Freshly Printed Books","version":"1.0","type":"link"}