Autonomous Intelligence

Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.Dr. Akshat Agrawal completed a B. Tech in Computer Science & Engineering from UPTU and M. Tech from USICT, GGSIPU. He completed his Ph.D. from GGSIPU, Delhi. He is an Associate Professor at Computer Science & Engineering, Institute of Engineering & Technology, JK Lakshmipat University, Jaipur, India. He has a total of 16 years of teaching and research experience. Artificial intelligence, deep learning, artificial neural networks, speech processing, and image processing are among his primary research interests. He has published a total of 56 Research papers in journals/conference in Scopus/ SCIE indexed international journals and conferences. He has guided 20 M. Tech thesis and 42 B. Tech projects. In June 2019, he visited at Technical University of Kosice in Slovakia and also visited the University of Nova, Portugal through CABCIN project (ERASMUS Funded) and in May 2023 he got a scholarship to visit Wroclaw University of Science & Technology, Wroclaw Poland. He actively participated in the peer review of research papers and book chapters, and he served on the programme committees of several conferences. He has edited one special issue on sustainable technological solutions for next-generation intelligent buildings in smart cities for EAI Endorsed Transactions on smart cities and edited toral 4 books, 1 for Wiley publication and 3 from IGI Global.

• PrefaceAbout EditorsPart I: Foundations of AI and Autonomy1. The Evolution and Fundamentals of AI & Autonomy : The Long Journey of Artificial Intelligence Toward Intelligent Automation2. Architectures of Agentic Systems3. Agentic AI Systems in Transportation and Mobility SystemsPart II: Understanding Agentic Intelligence4. Autonomy Levels: Mapping the Spectrum of Agentic Intelligence5. Architectures of Agentic Recommendation Systems: A Sentiment-Aware VIKOR MCDM Approach6. Machine Learning-Driven Models for Agentic Decision-Making SystemPart III: Technology Enablers and Architectures7. Scalable AI-Based Clouds Applications for Educational Innovation8. Intelligent Transportation Systems with IoT-Based Fuzzy Regression Modeling based on AI9. Autonomous Drone Intelligence: Agentic Architectures, Perception, and Decentralized Decision-Making for Cooperative SystemsPart IV: Design, Safety, and Deployment10. Designing Autonomous Intelligence for Environmental Agricultural Resilient Systems11. Ethics, Rights and Accountability in Agentic AI12. Ethical Governance of Large Language Models: Mitigating Risks and Ensuring Accountability in Agentic AI SystemsPart V: Healthcare and Assistive Agentic Systems13. Agentic AI for Healthcare and Assistive Systems14. Deep Learning for Diabetic Retinopathy: Healthcare and Assistive Systems15. Smart Healthcare and Assistive System Model for Remote Diabetes Monitoring System16. Integrating Climate Resilience into Hospital Planning and Health PolicyPart VI: Sectoral Applications of Agentic AI17. AI-Enabled Sustainable Supply Chain Integration in Autonomous Transportation Systems: Bridging Technology and Environmental Performance18. Designing Safe and Trustworthy Agentic Systems: Frameworks, Challenges, and Future Directions19. Artificial Intelligence Driven Multi-Disease Prediction in Dairy Cattle Using Time-Series Behavioural Sensor Analytics for Precision Livestock Health MonitoringPart VII: Societal, Ethical, and Future Considerations20. Unveiling the Layers: A Comprehensive Review of Fairness and Bias in Natural Language Processing