Buch, Englisch, 336 Seiten
Applications in Automation, Autonomous Navigation, Ai, Iot and Industrial Systems
Buch, Englisch, 336 Seiten
ISBN: 978-1-83669-089-4
Verlag: Wiley
The rapid evolution of embedded technologies has transformed modern automation, intelligent devices and connected infrastructures.
Intelligent Embedded Systems 1 provides a comprehensive introduction to the principles, architectures and real-world applications of intelligent embedded systems across diverse domains. This book explores the integration of artificial intelligence (AI), the Internet of Things (IoT), autonomous navigation, robotics, industrial automation, healthcare and smart manufacturing, highlighting how embedded intelligence enables efficient, reliable and adaptive systems. Through theoretical foundations, practical implementations and application-driven case studies, the book bridges the gap between academic concepts and industrial practice.
Designed for undergraduate and postgraduate students, researchers, engineers and professionals, this book offers valuable insights into emerging technologies, while establishing the foundational knowledge required to develop next-generation intelligent embedded solutions.
Autoren/Hrsg.
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Weitere Infos & Material
Preface xv
Abhishek KUMAR, Priya BATTA, S. RAVI and R. MOHAN
Introduction xvii
Abhishek KUMAR, Priya BATTA, S. RAVI and R. MOHAN
Part 1. Embedded Graph Intelligence and IoT Analytics 1
Chapter 1. Topology-Aware Spectral Graph Learning for Unsupervised IoT Device Clustering and Anomaly Detection 3
M. SHANMUGHAM, A. KAMESWARAN, M. PRAKASH, K. SIVAPRAKASH, C. NANDAGOPAL and M. ANITHA
Chapter 2. Graph Intelligence–Driven Deep Reinforcement Learning Framework for Adaptive Control and Predictive Maintenance of Coupled-Inductor DC–DC Converters in Hybrid Electric Vehicles 15
Elankurisil S.A. and N. Dhivya DEVI
Chapter 3. Apache Kafka Streams and Time-Series ARIMA Modeling for IoT-Enabled SME Supply Chain Visibility 31
Manam Vamsi KRISHNA, Bobbiti Jyothika REDDY, Bandaru RUCHITHA, Adla JAHNAVI, B. PAVITHRA and A. CHATHURYA
Chapter 4. Ensemble XGBoost and LSTM-Based Predictive Analytics for Real-Time Industry 4.0 Decision Support Systems 45
Narendhar MULUGU, Fariha NAAZ, Chakilela SRIVIDHYA, B. ANJALI, Aduri SMILEY and Bommadeni Sanjana SRI
Chapter 5. Isolation Forests with Local Outlier Factor and Mahalanobis Distance for Real-Time Fraud Detection 61
Lahari MEKALA, Kammalapally VARSHA, Kapuganti NIHARIKA, Karne NAMITHA, Kuchur AKSHARA and Mothewar SRIJA
Part 2. Embedded AI Optimization and Learning Architectures 77
Chapter 6. Optimized Variational Autoencoder–Reinforcement Learning Architectures for Autonomous IoT Resource Allocation and Load Balancing 79
Iyappan MURUGESAN, S. PRAKASH, Maheswaran THANGASAMY, Kokilavani THANGARAJ, R. MUTHUKUMAR and Brindha G.
Chapter 7. Proximal Gradient Methods and Federated Learning: Distributed Optimization for Edge Computing Environments 95
Ch. Sandeep REDDY, Mallaiahgari KAMALINI, K. MOUNIKA, Lingam KAVYANJALI, M. DIVYA and Gundeboina SUSHMITHA
Chapter 8. Convex Relaxation with ADMM and Second-Order Cone Programming for Renewable Energy Microgrids 113
D. Vemana CHARY, Bodi TEJASWINI, Dharavath SNEHA, Donda AKSHITHA, E. VYSHNAVI and D. SANJANA
Chapter 9. Deep Q-Networks with Prioritized Experience Replay for Autonomous Vehicle Decision-Making 127
L. Srinivasa REDDY, Neha KASANAGOTTU, Maloth Sai VAISHNAVI, Mosali ASHRITHA, Kuntala SREEJA and K. TEJASWI
Chapter 10. Cold Start Optimization Techniques for Function-as-a-Service Using Lambda@Edge and Container Reuse 141
S. SPANDANA, Singirikonda SAMHITHA, Suguru SIREESHA, Ramanolla ASHWITHA, Talasila HARSHITHA and Vaddadhi THANUSHA
Part 3. Embedded Security, DevOps and Cyber-Physical Systems 157
Chapter 11. Adversarial Deep Neural Networks for Intrusion Prevention in Heterogeneous IoT Ecosystems: A Robustness Analysis 159
Jaikumar R., Ravikumar S., K. TAMILSELVI, Iyappan MURUGESAN, B. SUGANTHI and Brindha G.
Chapter 12. Adaptive Threat-Aware Clustering for Enhanced Security in IoT-Enabled Smart Cities: A Machine Learning Enhanced Approach 171
C. NANDINI and Priyadarsini K.
Chapter 13. Graph Intelligence-Enabled Multi-Layered Framework for Revolutionizing Industrial Cyber-Physical System Security 187
K. SELVI and Golda DILIP
Chapter 14. Intelligent DevOps Monitoring and Automated Incident Response using Anomaly Detection and Self-Healing Pipelines 201
Amrutha Varshini MANNAVA, Kakumanu Venkata Sai Keerthi PRIYANKA, Vegesna Kumar Durga Abhirama RAJU, Penumala LAVENIA and B. Prameela RANI
Chapter 15. Multi-Cloud Load Balancing with Application Performance Monitoring (APM) and Chaos Engineering Practices 213
Kammara Venkatarangaiah ACHARI, Oruganti NIKHILA, Nangunoori SRIJA, Nimmanagoti SARASWATHI, Mekala KAVYA and Sunkari MAMATHA
Part 4. Embedded Communication, Edge and Cloud Integration 229
Chapter 16. MQTT Protocol Stack Optimization with Edge–Fog–Cloud Hierarchical Architecture and CoAP Lightweight Alternatives for Graph-Based IoT Network Communication 231
Vijayalakshmi CHINTAMANENI, Bathini VIGNANI, Gande SANNIHITHA, A. HAARIKA, B. HARSHITHA and G. PRIYANKA
Chapter 17. 5G Edge Computing with MEC and RAN Slicing for Ultra-Low Latency IoT Applications 249
B. Vijaya DURGA, Sarampelly ANANYA, Thadisetty VAISHNAVI, V. Chandra KEERTHI, Vuppu SHRIYA and Mamidi GAYATHRI
Chapter 18. IoT-Based ESG Metrics Integration with Edge Computing and Cloud Orchestration: A Sustainable Digital Infrastructure Approach 265
Narendhar MULUGU, Aramati Poojani REDDY, Adepu NEHA, Dodda MEGHANA, Bazar PRIYANSHU and Bommena Sri KEERTHANA
List of Authors 279
Index 289
