1st Edition

Next-Generation Artificial Intelligence Convergence of Neuroscience, Edge Computing, and Sustainable Technologies

Edited By Manzoor Ansari, Syed Arshad Ali, Mansaf Alam Copyright 2027
360 Pages 109 B/W Illustrations
by CRC Press

360 Pages 109 B/W Illustrations
by CRC Press

This book combines cutting-edge advancements in neuroscience-inspired artificial intelligence, edge computing, and sustainable practices, presenting a compelling narrative for researchers, industry professionals, and policymakers alike. Features: Illustrates how artificial intelligence is revolutionizing areas such as climate modeling, green energy solutions, resource management, and... Read more

Chapter 1. Introduction to Neuromorphic Computing
Sayed Abdulhayan, Lahari Lakshmi Prasad, Sayed AbdulHasan Quadri, Mohammed Zakir Bellary

Chapter 2. Computational Modeling of Genetic Algorithms: DNA Encoding, Mutation, and Evolutionary Optimization
Sachin Soni, Komal Sharma

Chapter 3. Smart Diagnostic System for Cardiovascular, Neural, and Muscular Health Using AI-Based ECG, EEG, and EMG Processing
Mohd. Maroof Siddiqui, K K Singh

Chapter 4. Application of AI in Healthcare
Shubham Kumar Singh, Kuldeep Chouhan, Arun Prakash Agrawal

Chapter 5. Drone-Enabled IoT-Integrated Smart Healthcare System for Reducing Ambulance Delays and Mortality in Emergency Conditions
Dhruv Dhayal, Manzoor Ansari, Masood Alam

Chapter 6. Detecting cancer stages in patients using machine learning integrated with Classification Threshold Tuner
Shahzeb Khan, Syed Arshad Ali, Mohd. Tajammul, Javed Ahmad, Sharik Ahmad

Chapter 7. Lung Cancer Stage Detection System Using Machine Learning
Aditya Giri, Krishna Gupta, Shahzeb Khan

Chapter 8. Harnessing Neuroplasticity: Advances in Brain Recovery and Cognitive Rehabilitation
Aashita Chhabra, Ram Sudan and Seema Malik

Chapter 9. AI Integrated Diagnostic Models for Neurological Disorders: Current Trends, Technologies, and Future Directions
Mohd. Maroof Siddiqui, Prajoona Valsalan

Chapter 10. Deep learning-based approaches for enhancing battery prognostics and health management
V. Lakshmi Chetana, Balasubbareddy Mallala, P.V.R. Ravindra Reddy

Chapter 11. A Review on Applications of Artificial Intelligence in Hydrogen Energy
P.V.R. Ravindra Reddy, Balasubbareddy Mallala, P. Prabhakar Reddy

Chapter 12. An In-Depth Review of Electric Vehicles within the Framework of Super Smart Grids
Pankaj Kumar Dubey, Varun Kumar, Bindeshwar Singh

Chapter 13. AI-Driven Energy Optimization in Edge Data Centres: The 4-Gear Predictive Threshold (4-GPT) Framework
Mohit Singh Bisht, Vaneet Kumar

Chapter 14. Transforming Agriculture and Environmental Monitoring with Artificial Intelligence: Advancing Sustainability and Precision
M. Robinson Joel

Chapter 15. A Comprehensive Review on AI Technologies for Detecting Defects from Fruits and Vegetables
Anjali Nambiyar, Rajkumar Kannan

Chapter 16. Generative AI for Sustainable Solutions
Prabhav Pushker, Saba Khanum

Chapter 17. Next-Gen AI in Education: Teacher Engagement for Sustainable Learning Performance
Mahmood Akbar

Chapter 18. AI-Driven Cybersecurity Awareness and Readiness: A case study from Albania Reis Mulita, Brisida Sefa

Chapter 19. AI-Powered Cyber Warfare: Safeguarding Data Privacy and Economic Stability in a Hyperconnected World
Faraz Khan, Sumaira Khan

Chapter 20. Responsible AI in Public Policy
Ashutosh Yadav, Anurag Kakkar, Deepshikha Yadav, Shailu Singh

Chapter 21. Responsible AI and the Next Generation: Policy Challenges and
Governance Opportunities
Harmeet Malhotra, Komal Sharma

Chapter 22. Challenges and Future Trends in Next-Generation AI: Integrating Neuroscience, Edge Computing, and Sustainability
Aditi Aggarwal, Preeti Sharma, Pankaj Kumar Varshney

Biography

Manzoor Ansari is an assistant professor in the Department of Computer Science at the Institute of Information Technology & Management (IITM), GGSIP University, New Delhi. His research spans IoT-Cloud integration, machine learning, smart surveillance systems, cyber forensics, business intelligence, environmental monitoring, and AI-driven predictive modelling.

Syed Arshad Ali is an assistant professor in the Department of Computer Science &
Applications at Sharda University, Greater Noida. His areas of expertise include Cloud Computing, Data Structures, Algorithms, Programming, Operating Systems, and Big Data technologies. Dr. Ali's research contributions cover cloud resource management, energy-efficient computing, IoT-cloud integration, big data analytics, federated learning, and NoSQL data solutions.

Mansaf Alam is working as a professor in the Department of Computer Science, Faculty of Sciences, Jamia Millia Islamia, New Delhi. His area of research includes Artificial Intelligence, Big Data Analytics, Machine Learning and Deep Learning, Cloud Computing, and Data Mining.