Real-World Applications of AI Innovation

Artificial intelligence (AI) innovation works to transform various sectors, driving efficiency, enhancing decision-making, and creating new opportunities for growth. From healthcare and finance to agriculture and entertainment, real-world applications of AI are demonstrating its potential to solve complex problems and improve everyday life. As these technologies continue to evolve, further exploration into the integration of AI into different fields may allow for a more efficient, sustainable, and innovative future. Real-World Applications of AI Innovation explores the latest advancements and practical applications of artificial intelligence across various domains. It delves into cutting-edge AI methodologies, algorithms, and technologies, providing readers with a deep understanding of the current landscape and future trends in AI research and development. This book covers topics such as smart farming, machine learning, and deep neural networks, and is a useful resource for computer engineers, scientists, medical professionals, agriculturalists, educators, researchers, academicians, and business owners.

Saurav Mallik is currently working as Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Previously, he worked as Postdoctoral Fellow in the Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, USA, the Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Texas, USA and in the Division of Bio-statistics of University of Miami Miller School of Medicine, Miami, Florida, USA. He is an active member of Institute of Electrical and Electronics Engineers (IEEE), USA, and American Association for Cancer Research (AACR), USA. He has authored more than 120 peer-reviewed research articles of high impact factors.

Sandeep Kumar Mathivanan received the M.S. degree in software engineering from Vellore Institute of Technology (VIT), Vellore, India, in 2016, the M.Tech. (by research) degree from VIT, in 2020, and the Ph.D. degree from the School of Information technology and Engineering, VIT, in 2023. He is an Assistant Professor with the School of Computer Science and Engineering, Galgotias University, Greater Noida, India. He has more than six years of research experience. He is the author of several journals and conferences. His current research interests include machine learning, deep learning, remote sensing, and big data. He is a reviewer and editor in many reputed Q1 and Q2 journals.

S.K.B. Sangeetha was born in Dindigul, Tamil Nadu, India, in 1984. received Bachelor’s degree in computer science and engineering from Christian College of Engineering and Technology, Dindigul in 2005, the Master’s degree in computer science and engineering from Dr.Mahalingam College of Engineering and Technology, Coimbatore in 2009, and the PhD degree in computer science and engineering from Anna University in 2019. She has 15 years of teaching experience and 5 years of research experience, and she has published various research papers in high-quality journals Springer, Elsevier, Wiley, etc. At present, she has a working Senior Assistant Professor in the Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Tamil Nadu, India. She is a Life Member of the ISTE and IEI. She has published more than 75 research articles and 10 book chapters in peer-reviewed international journals. She has published 10 IPR patents in machine learning and deep learning. She also presented 44 papers at national and international conferences. She has also been a reviewer of several international journals including, Artificial intelligence in medicine, IEEE Access, IGI Global Book Chapter Peer Reviews, International journal of information technology & decision making, and international journal of speech technology. She is also being an editorial board member in PLOS ONE and International Journal of Neuroscience and Neuroinformatics, IGI Global.

Ben Othman Soufiene is an Assistant Professor of computer science at the University of Gabes, Tunisia from 2016 to 2023. He received his Ph.D. degree in computer science from Manouba University in 2016 for his dissertation on “Secure data aggregation in wireless sensor networks. He also holds M.S. degrees from the Monastir University in 2012. My research interests focus on the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning and Big Data. Dr. Ben Othman has published more than 70 papers at reputed international journals, conferences, and book chapters. He is an Editorial Board Member in the different Journals and Conferences. He serves as an associate editor/academic editor for international journals including IEEE Access, IEEE Sensors, IEEE Internet of Things, Elsevier, Springer, Taylor & Francis, IGI, IET, Telecommunication Computing Electronics and Control, and Wiley. Dr. Ben Othman is a Technical Program Committee Member for more than a dozen of international conferences.