Gas sensors are playing an increasingly crucial role in environmental monitoring, industrial safety, and biomedical diagnostics. This book stands at the forefront of innovation, offering a deep dive into the latest advancements in gas sensing technology, with a unique emphasis on integrating machine learning techniques to enhance sensor performance.
Unlike traditional texts that focus purely on sensor materials or fabrication techniques, this book takes a multidisciplinary approach, bridging chemistry, electronics, and artificial intelligence.
This book is an essential resource for professionals in academia and industry, including researchers, engineers, and students working in fields such as air quality monitoring, industrial safety, healthcare diagnostics, and smart cities. Whether you are looking to develop more accurate gas detection systems, optimize sensor networks, or integrate machine learning into gas sensing applications, this book provides the tools and knowledge needed to drive innovation in this dynamic field.
With a blend of theoretical insights and hands-on applications, it serves as both an educational reference and a practical guide.
