Intelligent Embedded Systems 2

Description

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.

Contents

Part 1. Embedded Intelligence for Autonomous and Smart Systems.
1. Smart City Digital Twin with CoppeliaSim Simulation and Spatiotemporal Data Fusion for Urban Mobility Prediction, P. Kishore Kumar, Shaik Maheen, T. Dharani, Thipparthi Likitha, Vemula Shreshta and Narsing Bhargavi.
2. DL-Augmented CFD Modeling for Enhancing Thermo-Hydrodynamic Performance of Smart Nanofluids in Next-Generation Microfluidic Heat Exchange and Passive Cooling Systems, S. Leoni Sharmila, R. Balapriya, R. Vanaja, L. Manjula, K. Ramachandran and T.R.K. Kumar.

Part 2. Blockchain, Verification and Trusted Embedded Systems.
3. Static Analysis and Symbolic Execution for Solidity Smart Contract Vulnerability Detection Using SMT Solvers, Rajaram Jatothu, Shaik Sohin, Rameesa, Velpula Nagalaxmi, Nallala Ashruja and Shaik Haseena.
4. Formal Verification of Smart Contracts in Blockchain Supply Networks, Manam Vamsi Krishna, Dudekula Amulya, Duguru Meghana, Gudepu Rashmika, C. Srivani and B. Pranavi.
5. TLS/SSL Certificate Lifecycle Management with Hardware Security Modules for Blockchain Infrastructure, Kammara Venkatarangaiah Achari, Pambala Sahasra, Pasunuri Pooja, Paladugu Renusri, Vaka Hema Sree and T. Sai Sanngeetha.
6. Zero-Downtime Deployment Architecture Using Docker, Helm and Istio in Blockchain Systems, Chettaboina Hoyala, Sirikonda Sindhuja, Sreeja Potlacheruvu, Sriram Karthisha, M. Sangeetha and Tattari Anusha.

Part 3. Embedded AI for Healthcare and Biomedical Systems.
7. Early Prediction of Parkinson’s Disease Using Deep Learning: A Multimodal Neuroimaging and Clinical Feature Integration Approach, B. Prameela Rani, B. Gnana Priya and R. Abinaya.
8. Multi-View 3D Retinal Reconstruction via SfM, Stereo Matching and CNN Depth Estimation for Macular and Glaucomatous Biomarker Extraction, R. Bibsy Adlin Kumari and A. Shanthini.
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, R. Bibsy Adlin Kumari and A. Shanthini.
10. Enhancing Prenatal Diagnostic Accuracy Using DL for Fetal Chromosome Analysis, F. Benasir Begam and A. Packialatha.
11. Hierarchical Bayesian Networks with Variational Inference: Diagnostic Accuracy in Multi-Modal Medical Imaging, Mamilla Maheswari, K. Vaishnavi, K. Charitha, K. Saritha, G. Vaishnavi and Kalluri Sahasra.
12. Revolutionizing Agriculture: Enhancing Accuracy and Efficiency of Leaf Blight Disease Detection in Plants Using the Light-weight DL Approach, A. Balamurugan and R. Akileshwari.
13. U-Net Architecture with Attention Gates and Residual Connections for Biomedical Image Segmentation, Lahari Mekala, Nagothu Manasa, Kongala Anirvitha Reddy, Kumbham Snehalatha Reddy, Malki Sahiti and Kolipaka Vasavi.

Part 4. Embedded Data Analytics, Explainability and Deployment.
14. Model Interpretability and Explainability: Formal Methods for Extracting Decision Rules from Neural Network Black Boxes, K. Siva Bhavani, Yeluguri Mahimanvitha, Nallamothu Bhavya Sri, Saindla Srinithya, Sriramoju Sai Sharanya and Padam Varsha.

Part 5. Embedded Data Warehousing, Privacy & Infrastructure.
15. A Kimball-Based Dimensional Modeling Framework Using SCD Type-2 for Blockchain-Integrated Supply Chain Data Warehousing, Manish Kumar Sinha, Patel Vaishnavi, Rayapudi Tanuja, Rangineni Sravani, Vemavarapu Victoria Ruth and Volam Abhinaya.
16. Privacy-Preserving Collaborative Analytics for Blockchain-Based Water Resource Systems Using MPC and Homomorphic Encryption, Kalyana Chakravarthi Agnihothram, Nusrath Parveen, Tadikonda Pavana Sirisha, S. Roja, Riya Agrawal and P. Shriya.
17. Decentralized Collaborative ML Architecture for Privacy-Preserving Inference Across Dispersed IoT Sensor Networks, Asha Unnikrishnan.

About the authors/editors

Abhishek Kumar is a senior IEEE member and Professor at Chandigarh University, Mohali, India. His expertise spans AI, renewable energy and image processing.

Priya Batta is an Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her research specializes in AI, blockchain and the IoT.

S. Ravi is a Professor at Pondicherry University, India. His research focuses on multi-biometrics, medical imaging, computer vision and digital image processing.

R. Mohan is an Associate Professor at NIT Tiruchirappalli, India. His research specializes in computer vision, cybersecurity, distributed systems, high performance computing, machine learning, and software engineering.

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• Computer Engineering