Artificial Intelligence

Applications and Innovations
1. Auflage 2022
ISBN: 978-1-032-10823-0
Verlag: Chapman and Hall/CRC

Buch, Englisch, 300 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 619 g

Reihe: Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series

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.

Zielgruppe

Academic, Postgraduate, Professional, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Priyadarshini, Rashmi

Mehra, R M

Sehgal, Amit

Singh, Prabhu Jyot

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur

Inhaltsverzeichnis

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.

Über Autor(innen)

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 Promotion of Sciences (JSPS, Japan). He has been formally HoD, Department of ECE and Dean Research, Sharda University. Presently he is Advisor, Learning Resource Center and Nodal Officer, International Relations Division, Sharda University.

His primary research interests are Semiconductor Materials & Devices and Wireless Sensor Networks. He has supervised 49 PhD Research Scholars for the award of doctoral degree. He has published 215 research papers in SCI journals with ~4300 citations with h-index 38 (SCOPUS). Currently, he is Chief Editor of Invertis Journal of Renewable Energy, Chief Editor, Journal of Scientific and Technical Research (JSTR) and member of Advisory Editorial Board of Materials Science, Poland.

He has executed more than 17 research projects sponsored by national (DRDO, UGC, DST, CSIR, MNRE, IUAC) and international (NSF, USA & JSPS, Japan) agencies. He has widely traveled abroad for research, teaching and consultancy assignments to universities in USA, Japan and Europe. He is member of several academic and professional bodies and has chaired Semiconductor Society (India).

Dr Amit Sehgal is Ph. D. in Electronics Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. He completed his M. Tech. in electronics and communication engineering from Guru Nanak Dev Engineering College, Ludhiana and B. E. in electronics and communication engineering from C R State College of Engineering (now DCRUST). He is working as Professor, School of Engineering and Technology, Sharda University, India and holding the additional charge of Director, Sharda Launchpad Federation. He has more than 20 years of experience in industry, academia and research. He has contributed to several research and development projects in wireless networks, health informatics, and IoT, including corporate and international academic collaboration. He is a voluntary startup mentor for Atal Innovation Mission Incubators and Atal Tinkering Labs contributing to the startup ecosystem by mentoring innovators and early age startups. Upon completing his Cambridge Certification for International Teachers and Trainers and Dale Carnegie Certificate for High Impact Teaching Skills, he contributed to the educational uplift of engineering education by serving as Master Trainer for Mission 10X - a faculty development initiative by Wipro Technologies, for more than two years.

He has more than 40 research papers in Journals and conferences and 8 patents filed. His research interests include wireless networks, remote monitoring systems and IoT. In addition, he has mentored several student entrepreneurs and has vast experience in the field of innovation and incubation.

Dr Prabhu Jyot Singh was born in Bikaner, India, in 1985. He received the Bachelor of Engineering degree in Computer Science &Engineering from the University of Rajasthan, Rajasthan, India, in 2007, and the Master of Science degree in Advanced Computer Science from the University of Leicester, Leicester, U.K, in 2010.In 2012, he joined the Department of Computer Science & Engineering at Manda Institute of Technology, Bikaner, as an Assistant professor. He completed Ph.D. in Business and Informatics from Central Queensland University, Sydney Campus in 2020. The thesis title of his PhD research was "A Contribution to Communication Management in Private Unmanned Aerial Vehicle Networks". His current research interests include UAV networks, computer networks, Artificial Intelligence and Software engineering. He is currently working as a casual lecturer in CQUniversity, Sydney.