The content is structured to offer a seamless learning experience, starting with the fundamentals of TinyML and progressing to advanced techniques for deploying models on Arduino microcontrollers. Readers will explore topics such as data preprocessing, feature extraction, and model optimization, all within the MATLAB® environment. Practical examples and hands-on projects are included to demonstrate key concepts, from building predictive models to implementing real-time applications. Each chapter is designed to provide actionable insights, ensuring readers can apply their knowledge to diverse scenarios.
With its accessible language and practical focus, this book is a valuable tool for professionals and educators in IoT, automation, and smart systems, offering a dependable guide for learning or teaching TinyML concepts.
Dr. Ying Bai is a Professor in the Department of Computer Science and Engineering at Johnson C. Smith University located at Charlotte, North Carolina. His special interests include: Artificial intelligence, soft-computing, database programming, fuzzy logic controls, automatic and robots controls, as well as robots calibrations. His industry experience includes positions as software and senior software engineers at companies such as Motorola MMS, Schlumberger ATE Technology, Immix TeleCom, and Lam Research. Since 2003, Dr. Bai has published 22 books with publishers such as Prentice Hall, CRC Press LLC, Springer, Cambridge University Press and Wiley IEEE Press. He also published about 80 academic research papers in IEEE Trans. journals and international conferences. Most books are about AI foundations and applications with MATLAB, micro-controller controls and programming, fuzzy logic implementations, classical and modern controls, cross-language interface programming, database programming and applications.