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Part I: Foundations of TinyML and Edge AI Chapter 1: A Primer on TinyML: Revolutionizing Embedded AI for Intelligent Devices Chapter 2: Hardware and Software Ecosystem for TinyML - Cross Platform Deployment of Models Chapter 3: Smart Data Acquisition and Preprocessing for Resource-Constrained Environments Chapter 4: AI-Centric Architectures for TinyML: Revolutionizing Edge Intelligence with Optimized Hardware Solutions Part II: Building and Optimizing TinyML Models Chapter 5: Clustering Distributed Edge Devices Using Scalable AI Chapter 6: Optimization at Edge Using AI Techniques: Pruning, Quantization, and Knowledge Distillation Chapter 7: Neural Network Architecture for Ultra-Low-Power Intelligent Edge Systems Part III: Analyzing and Evaluating TinyML Models Chapter 8: Analysis of Optimization Algorithms for Efficient TinyML Model Performance Chapter 9: Evaluation Frameworks, Metrics, and Benchmarks for TinyML Applications Part IV: TinyML Applications Chapter 10: TinyML for Healthcare and Biomedical Applications Chapter 11: Advancing Sustainable Intelligence through an Unified Framework at the Edge by Utilizing TinyML for Environmental Monitoring Chapter 12: TinyML for Industrial Automation and Predictive Maintenance Chapter 13: TinyML for Computer Vision and Image Processing Chapter 14: Impact of Tiny Machine Learning on Embedded Systems for Advanced Image Processing Chapter 15: TinyML for Audio and Speech Processing Part V: Advanced Topics in TinyML Chapter 16: Mitigation Strategies for Enhancing Security and Privacy in TinyML Systems Chapter 17: Compliance, Data Security, Law and Ethical AI Regulation in Decentralized Approached using TinyML |
KARTHIKA SUBBARAJ is an Associate Professor in the Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering.
BALAMURUGAN BALASAMY is an Associate Dean Student in Shiv Nadar University, Delhi-NCR.
CHITHIRAI PON SELVAN has over twenty-five years’ experience teaching engineering students. He’s a Senior Fellow of the Higher Education Academy in the UK.
FESLIN ANISH MON is a researcher specializing in trust-based security in Internet of Things networks. He works in the Department of Information Technology at the University of Technology and Applied Sciences, Ibri Branch.
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