Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems Intelligent Data-Driven Systems and Artificial Intelligence Series

This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides internet of things-based frameworks and advanced computing techniques to deal with online/virtual systems.

This book:

· Covers aspects of security, authentication, and prediction for data-driven systems in heterogeneous environments.

· Provide data-driven frameworks in combination with the internet of things, artificial intelligence, and computing to provide critical insights and decision-making for real-time problems.

· Showcases deep learning-based computer vision algorithms for enhanced pattern detection in different domains based on data-centric approaches.

· Examines the role of the internet of things and machine learning algorithms for data-driven systems.

· Highlights the applications of data-driven systems and cloud computing in enhancing network performance.

This book is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science, and engineering.

1. Artificial Intelligence & IoT: Challenges and Future Directions for Data Driven System. 2. Cloud Computing in AI-based Data-Driven Systems: Opportunities and Challenges. 3. Study on Detection of Potato Diseases using Deep Learning Network and Image Segmentation. 4. Leveraging Cloud Computing for Efficient AI-Based Data-Driven Systems. 5. Analyzing and contrasting the outcomes of performance-based plagiarism detection methods. 6. Machine Learning Algorithms for Data Driven Systems in IoT. 7. Improving Classification Accuracy of Diabetes Mellitus Prediction using Ensemble Techniques. 8. Machine learning Models for IoT Botnet attack Detection. 9. Blockchain-based identity authentication for Internet of Things systems: A comprehensive survey. 10. Connected Healthcare: The Impact of Internet of Things on Medical Services: Merits, Limitations, Future Insights, Case Studies, and Open Research Questions. 11. IoT-Enabled Smart Farming Systems using Data Analytics and Machine Learning: An empirical study of livestock monitoring. 12. Exploring the Performance Improvement and Skill Set Transformations in Sheet Metal Operations through Digital Technology. 13. Crowd-Sourced Based Emergency Response on the Internet of Vehicles (IOV): Harnessing Strengths and Limitations.

Dr. Anshu Singla is PhD in Computer Science and Engineering with 17 years of experience in research, training, and academics. Currently, she is working as a Professor with Chitkara University, Punjab, India. Her areas of expertise are Machine Learning, Soft Computing, Pattern Recognition, Image Processing, and Artificial Intelligence. She has published 45 publications which includes 13 SCI publications. She has been granted one patent and filed 13 patents in the relevant field. She has guided 4 ME research scholars and 4 PhD scholars. Currently, she is supervising 5 PhD Scholars in the areas of Emotion recognition, Color-blindness, Object Detection, Crop yield prediction, and Satellite imaging.

Dr. Sarvesh Tanwar is an Associate Professor at Amity Institute of Information Technology (AIIT), Amity University, Noida. She is head of AUN Blockchain & Data Security Research Lab. She has Completed her M.Tech (CSE) degree from MMU, Mullana and Ph.D in (CSE) from Mody University, Laxmangarh (Raj.). She has more than 15 years of teaching and research experience. Her area of research includes Public Key Infrastructure (PKI), Cryptography, Blockchain and Cyber Security. She has published more than 80 research papers in International Journals and Conferences. She is currently guiding six PhD scholars and has guided 5 M.Tech Research scholars. She has filed 19 patents and 2 copyrights in the relevant field. She is Senior member IEEE, Life - Member, Cryptology Research Society of India (CRSI), Indian Institute of Statistics, Kolkata, India and member of International Association of Computer Science and Information Technology (IACSIT), Singapore. She is reviewer of Journal of Cases on Information Technology (JCIT), IEEE Access, MDPI, Asian Research Journal of Mathematics and Indersciene, Member of editorial reviewer board of IJISP, IGI Global, USA. She is Member of Editorial Board in International Journal of Research in Science and Technology (IJRSTO),