05262nam 22006013 450 991102010570332120260720211924.09781394287048139428704697813942870621394287062978139428705513942870541-394-28705-4(CKB)38011657600041(MiAaPQ)EBC31974309(Au-PeEL)EBL31974309(OCoLC)1509787695(BIP)109703922(BIP)109501465(FI-CZ)9781394287048(UkBuK)3370510(EXLCZ)993801165760004120250328d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAI-Based Advanced Optimization Techniques for Edge Computing1st ed.Wiley20251 online resource (481 pages)Advances in learning analytics for intelligenct cloud-IOT systems9781394287031 1394287038 1-394-28703-8 Series Page1 Navigating Next-Generation Network Architecture: Unleashing the Power of SDN, NFV, NS, and AI Convergence2 OctoEdge: An Octopus-Inspired Adaptive Edge Computing Architecture3 Development of Optimized Machine Learning Oriented Models4 Leveraging Multimodal Data and Deep Learning for Enhanced Stock Market Prediction5 Context Dependent Sentiments Analysis Using Machine Learning6 Thyroid Cancer Prediction Using Optimizations7 An LSTM-Oriented Approach for Next Word Prediction Using Deep Learning8 Churn Prediction in Social Networks Using Modified BiLSTM-CNN Model9 Fog Computing Security Concerns in Healthcare Using IoT and Blockchain10 Smart Agriculture Revolution: Cloud and IoT-Based Solutions for Sustainable Crop Management and Precision Farming11 Greedy Particle Swarm Optimization Approach Using Leaky ReLU Function for Minimum Spanning Tree Problem12 SDN Deployed Secure Application Design Framework for IoT Using Game Theory13 Framework for PLM in Industry 4.0 Based on Industrial Blockchain14 Machine Learning Enabled Smart Agriculture Classification Technique for Edge Devices Using Remote Sensing Platform15 A Lightweight Intelligent Detection Approach for Interest Flooding Attack16 An Internet of Vehicles Model Architecture with Seven LayersEnd User License AgreementThe book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges and future opportunities in this rapidly evolving field. This book focuses on artificial intelligence-induced adaptive optimization algorithms in fog and Edge IoT networks. Artificial intelligence, fog, and edge computing, together with IoT, are the next generation of paradigms offering services to people to improve existing services for real-time applications. Over the past few years, there has been rigorous growth in AI-based optimization algorithms and Edge and IoT paradigms. However, despite several applications and advancements, there are still some limitations and challenges to address including security, adaptive, complex, and heterogeneous IoT networks, protocols, intelligent offloading decisions, latency, energy consumption, service allocation, and network lifetime. This volume aims to encourage industry professionals to initiate a set of architectural strategies to solve open research computation challenges. The authors achieve this by defining and exploring emerging trends in advanced optimization algorithms, AI techniques, and fog and Edge technologies for IoT applications. Solutions are also proposed to reduce the latency of real-time applications and improve other quality of service parameters using adaptive optimization algorithms in fog and Edge paradigms. The book provides information on the full potential of IoT-based intelligent computing paradigms for the development of suitable conceptual and technological solutions using adaptive optimization techniques when faced with challenges. Additionally, it presents in-depth discussions in emerging interdisciplinary themes and applications reflecting the advancements in optimization algorithms and their usage in computing paradigms. Audience Researchers, industrial engineers, and graduate/post-graduate students in software engineering, computer science, electronic and electrical engineering, data analysts, and security professionals working in the fields of intelligent computing paradigms and similar areas.COMPUTERS / Artificial Intelligence / GeneralbisacshCOMPUTERS / Artificial Intelligence / General006.3Mohit Kumar1886969Srivastava Gautam1802732Singh Ashutosh Kumar1785463Dubey Kalka1837544MiAaPQMiAaPQMiAaPQBOOK9911020105703321AI-Based Advanced Optimization Techniques for Edge Computing4526948UNINA