| About Book
“Implement ML in IoT Environments” explores the relationship between Machine Learning and the Internet of Things in details. It’s an all-inclusive discussion of both theoretical and practical aspects with the essentials of the book making it a necessary acquisition for practitioners and students in IoT, AI, and data science fields. IoT Introduction: The very first stage contains IoT in which there is a discussion about the basic concepts, significant making blocks, and real-world applications. This would include the entire interlinked world where all devices talk to one another via data exchange and form smart environments across the industry representative. IoT Hardware and Software: The hardware and software in IoT systems are all explored in relation to their operation within the system. Sensors, actuators, communication protocols, and edge computing as well as other technologies are explored as enabling factors in IoT applications. In addition, software architectures and platforms for IoT development would also be described while emphasizing the inclusion of machine learning to enhance differents functions in IoT applications. Architecture and Reference Models in IoT: It covers the complete information regarding the architectural frameworks and reference models used in IoT. Models such as the IoT reference model and the three-layer model are mentioned in this book-an explanation on how data is processed, stored, and transferred. The book also discusses issues on scalability that affect IoT systems leaving behind the picture of what an effective, secure architecture would demand. It introduces the concept of precision agriculture that IoT and machine learning help to develop what you call “agricultural practices.” The book discusses how monitoring and analysis of data through IoT sensors plus application of data analytics and ML algorithms can increase the efficiency of crop production, resource management, and overall farm productivity. The bringing in of IoT into precision agriculture is hailed as a game-changer to sustainable agricultural practice. Introduction to the Smart Health Monitoring System: The last section concerns smart health monitoring; thus, using IoT equipped with machine learning algorithms to continue real-time tracking and analysis of health data. Various health monitoring systems would be developed where scientists rely on IoT and collection of vital signs through wearables as well as analysis on how health conditions can be predicted using models of machine learning contributing to personalized care and early diagnosis. Finally, the book raises a point that using IoT and machine learning together will be a strong tool of transformation in the future, giving a small view on trends and advancements of smart environments. Thus, this reference work will go on to provide the complexity and its application in IoT systems-from precision agriculture to health monitoring. |
About Authors
Prof. (Dr.) Geetika Mathur She has received her Ph. D. degree in Antenna and Communication and has also pursued her MBA in Project Management. Currently, she is working as a Professor in the Department of Computer Engineering at Poornima College of Engineering, India. She has 20 years of teaching experience. During this tenure she has published 02 books, 02 patents and more than 65 research papers in various international journals and conferences. Her current research interests include Internet of Things, Artificial Intelligence and Antennas. Prof. (Dr.) Mathur is a Lifetime member of ISTE. Prof. (Dr.) Amit Pandey He has received his M.S. degree in Computer Science from California State University Fresno, California, USA in 2008. Later, in 2017, he received his Ph.D. degree in Computer Science. Currently, he is working as Professor at Poornima College of Engineering, Jaipur. He has more than 15 years of teaching experience. During this tenure he has published 07 books, 04 patents and more than 30 research papers in various international journals and conferences. His current research interests include Machine learning and High Performance Computing. Dr. Pandey is a Lifetime member of Computer Society of India (CSI). He is also a Senior Member of IEEE. Mrs. Shilpa Kalra She has received his M.tech degree in Software Engineering from Suresh Gyan Vihar University in 2012. Currently pursuing her Ph.D. degree in Computer Science. And Currently she is working as Assistant Professor at Poornima College of Engineering, Jaipur. She has more than 10 years of teaching experience. During this tenure She has published 01 patents and more than 5 research papers in various international journals and conferences. Her current research interests include Machine learning and IOT. Mr. Abhishek Parashar He is a technical Assistant in Department of Advance Computing Engineering, Poornima College of Engineering, Jaipur, India. He has completed his B.tech Degree in Electronic And Communications and Also Doing M.tech Information Technology. He has 3 years of Technical Experience. He has published 4 book chapters. |
