Buch, Englisch, 336 Seiten
Advanced Architectures, Iot Integration and Autonomous Decision-Making
Buch, Englisch, 336 Seiten
ISBN: 978-1-83669-166-2
Verlag: Wiley
The rapid evolution of embedded technologies has transformed modern automation, intelligent devices and connected infrastructures.
Intelligent Embedded Systems 2 explores advanced architectures, intelligent algorithms and emerging technologies that are shaping the future of embedded computing.
This book examines AI-enabled embedded platforms, edge and fog computing, cyber-physical systems, autonomous decision-making, real time embedded intelligence, secure IoT integration, digital twins and next-generation industrial applications. Emphasis is placed on scalable system design, intelligent control, cybersecurity, energy-efficient computing and autonomous operations within Industry 4.0 and smart environments.
Featuring contemporary research trends, practical methodologies and application-oriented case studies, this book serves as a valuable resource for researchers, graduate students, industry practitioners and technology developers seeking to design, deploy and optimize intelligent embedded systems for complex real-world challenges.
Autoren/Hrsg.
Fachgebiete
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 Intelligence for Autonomous and Smart Systems 1
Chapter 1. Smart City Digital Twin with CoppeliaSim Simulation and Spatiotemporal Data Fusion for Urban Mobility Prediction 3
P. Kishore KUMAR, Shaik MAHEEN, T. DHARANI, Thipparthi LIKITHA, Vemula SHRESHTA and Narsing BHARGAVI
Chapter 2. DL-Augmented CFD Modeling for Enhancing Thermo-Hydrodynamic Performance of Smart Nanofluids in Next-Generation Microfluidic Heat Exchange and Passive Cooling Systems 21
S. Leoni SHARMILA, R. BALAPRIYA, R. VANAJA, L. MANJULA, K. RAMACHANDRAN and T.R.K. KUMAR
Part 2. Blockchain, Verification and Trusted Embedded Systems 37
Chapter 3. Static Analysis and Symbolic Execution for Solidity Smart Contract Vulnerability Detection Using SMT Solvers 39
Rajaram JATOTHU, Shaik SOHIN, Rameesa, Velpula NAGALAXMI, Nallala ASHRUJA and Shaik HASEENA
Chapter 4. Formal Verification of Smart Contracts in Blockchain Supply Networks 55
Manam Vamsi KRISHNA, Dudekula AMULYA, Duguru MEGHANA, Gudepu RASHMIKA, C. SRIVANI and B. PRANAVI
Chapter 5. TLS/SSL Certificate Lifecycle Management with Hardware Security Modules for Blockchain Infrastructure 71
Kammara Venkatarangaiah ACHARI, Pambala SAHASRA, Pasunuri POOJA, Paladugu RENUSRI, Vaka Hema SREE and T. Sai SANNGEETHA
Chapter 6. Zero-Downtime Deployment Architecture Using Docker, Helm and Istio in Blockchain Systems 87
Chettaboina HOYALA, Sirikonda SINDHUJA, Sreeja POTLACHERUVU, Sriram KARTHISHA, M. SANGEETHA and Tattari ANUSHA
Part 3. Embedded AI for Healthcare and Biomedical Systems 103
Chapter 7. Early Prediction of Parkinson's Disease Using Deep Learning: A Multimodal Neuroimaging and Clinical Feature Integration Approach 105
B. Prameela RANI, B. Gnana PRIYA and R. ABINAYA
Chapter 8. Multi-View 3D Retinal Reconstruction via SfM, Stereo Matching and CNN Depth Estimation for Macular and Glaucomatous Biomarker Extraction 121
R. Bibsy Adlin KUMARI and A. SHANTHINI
Chapter 9. DS-RDN: A Dual-Stream 2D -3D Deep Learning Architecture for Automated Detection of AMD, Diabetic Macular Edema and Glaucoma from Reconstructed Retinal Models 135
R. Bibsy Adlin KUMARI and A. SHANTHINI
Chapter 10. Enhancing Prenatal Diagnostic Accuracy Using DL for Fetal Chromosome Analysis 153
F. Benasir BEGAM and A. PACKIALATHA
Chapter 11. Hierarchical Bayesian Networks with Variational Inference: Diagnostic Accuracy in Multi-Modal Medical Imaging 163
Mamilla MAHESWARI, K. VAISHNAVI, K. CHARITHA, K. SARITHA, G. VAISHNAVI and Kalluri SAHASRA
Chapter 12. Revolutionizing Agriculture: Enhancing Accuracy and Efficiency of Leaf Blight Disease Detection in Plants Using the Light-weight DL Approach 179
A. BALAMURUGAN and R. AKILESHWARI
Chapter 13. U-Net Architecture with Attention Gates and Residual Connections for Biomedical Image Segmentation 195
Lahari MEKALA, Nagothu MANASA, Kongala Anirvitha REDDY, Kumbham Snehalatha REDDY, Malki SAHITI and Kolipaka VASAVI
Part 4. Embedded Data Analytics, Explainability and Deployment 211
Chapter 14. Model Interpretability and Explainability: Formal Methods for Extracting Decision Rules from Neural Network Black Boxes 213
K. Siva BHAVANI, Yeluguri MAHIMANVITHA, Nallamothu Bhavya SRI, Saindla SRINITHYA, Sriramoju Sai SHARANYA and Padam VARSHA
Part 5. Embedded Data Warehousing, Privacy & Infrastructure 229
Chapter 15. A Kimball-Based Dimensional Modeling Framework Using SCD Type-2 for Blockchain-Integrated Supply Chain Data Warehousing 231
Manish Kumar SINHA, Patel VAISHNAVI, Rayapudi TANUJA, Rangineni SRAVANI, Vemavarapu Victoria RUTH and Volam ABHINAYA
Chapter 16. Privacy-Preserving Collaborative Analytics for Blockchain-Based Water Resource Systems Using MPC and Homomorphic Encryption 247
Kalyana Chakravarthi AGNIHOTHRAM, Nusrath PARVEEN, Tadikonda Pavana SIRISHA, S. ROJA, Riya AGRAWAL and P. SHRIYA
Chapter 17. Decentralized Collaborative ML Architecture for Privacy-Preserving Inference Across Dispersed IoT Sensor Networks 265
Asha UNNIKRISHNAN
List of Authors 279
Index 289
