Artificial Intelligence (applications And Innovations)

This book deals with the advancements made in the verticals of design approach using emerging technologies in artificial intelligence. It intends to deal with incorporating use cases, industry studies and research papers related to application of computer technique in the both the industry verticals.

Artificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists, professionals, academicians and students dealing with the new challenges and advances in the areas of AI and innovations. This book also covers a wide range of applications of machine learning such as fire detection, structural health and pollution monitoring and control.

Key Features

• Provides insight into prospective research and application areas related to industry and technology
• Discusses industry- based inputs on success stories of technology adoption
• Discusses technology applications from a research perspective in the field of AI
• Provides a hands- on approach and case studies for readers of the book to practice and assimilate learning

This book is primarily aimed at graduates and post- graduates in computer science, information technology, civil engineering, electronics and electrical engineering and management.

1. Introduction to Artificial Intelligence. 2. Machine Learning- Principles and Algorithms. 3. Applications of Machine Learning and Deep Learning. 4. Environmental Monitoring in WSN using AI. 5. Applications of Machine Learning - Fire detection. 6. Structural Health Monitoring. 7. Application of Machine learning in Agriculture with some examples. 8. Deep learning in Smart Agriculture Applications. 9. Applications of Deep learning – in aerial robotics. 10. The Memristor and Its Implementation in Deep Neural Network Designing: A Review. 11. Machine learning applications to recognize autism and Alzheimer’s Disease.

Dr. Rashmi Priyadarshini, P.hD in Electronics and Communication Engineering from Sharda University Greater Noida. She completed M,Tech (Electronics and Communication Engineering, from IGIT, GGSIP University, Delhi, India). B.Tech degree, (Electronics and Communication Engineering, from GradIETE, Institution of Electronics and Telecommunication Engineering, New Delhi,India,). She is associate professor in School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh. She is senior member of IEEE. She has published 50 research papers. She has been awarded "Best Teacher Award" by Sharda University. She is having fifteen years of teaching experiences in various engineering colleges across India. She is associated with Sharda University, India, in 2006 and is currently associated with the School of Engineering & Technology as an Associate Professor in the Department Electronics & Communication Engineering. Her main research interests are design and deployment of wireless sensor networks for assistive purposes and monitoring. She has published many patents and completed govt. funded projects.

Professor R. M. Mehra is Professor Emeritus in the Department of Electrical and Electronics and Communication Engineering (EECE), School of Engineering and Technology, Sharda University, Greater Noida, U.P. India since January 2010. Professor Mehra received his B.Sc. (Hons.), M.Sc. and Ph.D. degrees in physics from University of Delhi, Delhi, India and subsequently taught there for thirty eight years. He has been post-doctoral research fellow of Japan Society for Pro