About

About the Book

TinyML-Enabled IoT Systems: Recent Advances is a peer-reviewed edited volume published by Bentham Science Publishers and indexed in Scopus. It targets researchers, engineers, and practitioners working at the intersection of machine learning and constrained embedded systems.

The book solicits original, unpublished chapters spanning foundational theory, system architectures, algorithmic innovation, deployment pipelines, and real-world application domains — from industrial IoT and precision agriculture to smart healthcare and security-critical embedded AI.

There are no publication charges. Chapters are subject to rigorous peer review, and the corresponding author must hold an H-Index greater than 10. Submitted manuscripts must maintain plagiarism below 10% and AI-similarity at 0%.

Topics

Table of Contents

01
Introduction to TinyML and Edge-Native Intelligence for IoT Systems
02
Embedded Computing Architectures and Hardware Platforms for TinyML
03
Hardware–Software Co-Design Strategies for Resource-Constrained TinyML Systems
04
Machine Learning Algorithms and Neural Network Architectures for TinyML
05
TinyML Frameworks, Toolchains, and Software Ecosystems
06
TinyMLOps: Deployment Pipelines and Lifecycle Management for Embedded AI
07
Model Compression, Quantization, and Resource-Aware Optimization Techniques for TinyML
08
Energy-Efficient Learning and Inference for Ultra-Low-Power TinyML Systems
09
On-Device Adaptation, Continual Learning, and Federated Learning in TinyML
10
Security, Privacy, and Trustworthy Intelligence in TinyML-Enabled IoT Systems
11
Benchmarking, Performance Evaluation, and Deployment Metrics for TinyML Systems
12
TinyML Applications in Smart Healthcare, Wearable Computing, and Digital Health
13
TinyML Applications in Industrial IoT, Predictive Maintenance, and Intelligent Automation
14
TinyML Applications in Agriculture, Environmental Monitoring, and Smart Infrastructure
15
Emerging Trends, Open Challenges, and Future Directions of TinyML-Enabled IoT Systems
Editors

Editorial Board

Chandramouli Haldar
Chandramouli Haldar
Independent Researcher
NovaTech Innovative Solutions, India
Dr. Lalit Garg
Dr. Lalit Garg
Professor
University of Malta, Malta
Dr. Suparna Biswas
Dr. Suparna Biswas
Associate Professor
Guru Nanak Institute of Technology, India
Dr. Soumik Podder
Dr. Soumik Podder
Associate Professor
University of Engineering & Management, India