Real-Time Artificial Intelligence (AI) Key Motivations, Technologies, Platforms, and Use Cases

1. Machine Learning and Deep Learning Algorithms for Modern Science and Technology: Applications and Challenges

Gnanasankaran Natarajan, Rakesh Gnanasekaran, Shirley Chellathurai Pon Anna Bai, and Sundaravadivazhagan Balasubramanian

2. Exploring Incremental and Deep Learning Approaches for Plant Disease Detection: A Comprehensive Review

M. Praneesh and V. Kavitha, R. Santhakumari, and R. Shobana

3. Machine, Deep, and Reinforcement Learning Algorithms and Applications

K. Gowri and B. L. Shivakumar

4. AIOps-Powered Entrepreneurship: Harnessing AI for Operational Excellence and Rapid Growth

M. Ashok Kumar, Aliyu Mohammed, G. Kalaiarasi, and B. Sundaravadivazhagan

5. Leveraging Incremental Learning for Agile Entrepreneurship: A Practical Guide to Continuous Learning and Adaptation in Dynamic Markets

Aliyu Mohammed, M. Ashok Kumar, G. Kalaiarasi, and B. Sundaravadivazhagan

6. Development of Artificial Intelligence-Based Breast Cancer (BC) Prediction in Healthcare Systems

M. Ashok Kumar, Aliyu Mohammed, S. Veerama devi, and V. Kavitha

7. An Energy-Efficient Approach-Based Prediction in Sensor Cloud System by Using Machine Learning Methods

Anbar Hussain, Muhammed Ijaz, Younas Aziz, Naeem Hussain, and Bilal Ahmed

8. Using Online Predictions and Machine Learning for Fraud Detection in Online Transactions

Kassim Kalinaki, Wasswa Shafik, and Khairul Eahsun Fahim

9. Incremental Learning in Real-Time Artificial Intelligence

Y. V. R. Naga Pawan and Bhanu Prakash Kolla

10. Exploring of AI-Powered Applications in Chatbots for Future Development

S. Sasikala and V. Kavitha

11. Ax-YOLOv8-Based Indian Traffic Sign Detection and Classification in Autonomous Vehicle

Antony Vijay J., Mythily M., and Beaulah David

12. Empowering Womens Health: Artificial Intelligence Applications in Pre-Eclampsia Screening and Monitoring

B. Kannaki Devi and D. Ramyachitra

13. Incremental Learning

S. Saranya, M. Suganthapriya, P. R. Harikrishnan, and P. Kavin

14. Understanding the Role of Artificial Intelligence in the Industry 4.0 Ecosystem: A Digital Transformation: Case Studies

P. Sumitra

15. Artificial Intelligence for the Digital Era: Unleashing the Power of Intelligent Technologies

N. A. Natraj

16. An Enhanced Hidden Markov Model for Predicting Two-Tier Webpage and Improving Accuracy

Omosebi Paul Adeoye, Adewole Adetunji Philip, and Sennaike Oladipupo Ayodeji

17. Operationalizing Machine Learning: The Path to MLOps Excellence

Gurram Sunitha

Biography

Pethuru Raj, PhD, is Chief Architect and Vice President at Reliance Jio Platforms Ltd., India. Previously, he worked as a cloud architect at the IBM Global Cloud Center of Excellence, as an enterprise architect at Wipro Consulting Services, and as a software architect at Robert Bosch Corporate Research. In total, he has gained more than 24 years of IT industry experience and eight years of research experience.

B. Sundaravadivazhagan, PhD, is a Professor of Information Technology at the University of Technology and Applied Science, Oman. With over 23 years of experience, he has published many research papers and has contributed to multiple international conferences. He has received research grants from Oman’s TRC and serves on academic committees, including at Amrita University and Saveetha School of Engineering, India.

V. Kavitha, PhD, is an Associate Professor of Computer Science with Cognitive Systems, Sri Ramakrishna College of Arts and Science, India. She has over 20 years of teaching and research experience. She has published many research papers in international as well as national journals and international conferences and book chapters and has delivered technical talks in the areas of big data analysis and cybersecurity.

B. Narendra Kumar Rao, PhD, is a Professor and Program Head of the Department of AI & ML at the School of Computing, Mohan Babu University, India, where he is also a member of the Research Advisory Committee and Doctoral Supervisor Cluster Head. He has been a conference convener and conference chair, has published articles in reputed journals and conferences, and has edited two proceedings published by Springer. He has won several awards for his work.

Hannah Vijaykumar, PhD, is an Associate Professor and Head of the Department of Computer Science at Anna Adarsh College for Women, India, where she also serves as Dean of Computational Studies. She has 26 years of teaching experience. She has published papers in Scopus-indexed journals and in international conferences. She has also published book chapters and authored several books. She has two international patents to her credit.