Artificial Intelligence and Data Science in Healthcare Applications

1. Computer-Aided ADHD Diagnosis using EEG Analysis
Yuvika Mishra, Shlok Kohli, Sadiya Faizan, Shiv Naresh Shivhare, Tina Tomazic

2. Classification of Brain Tumors Using Convolutional Neural Network
Pratyush Rathore, Ishaan Tripathi, Rudraksh Singh Chandel, Mala Saraswat

3. Predicting the Need for Mental Treatment Across Various Age Groups Using Machine Learning Algorithms
Pallavi Ranjan, Dipika Jain

4. Revolutionizing Disease Forecasting: The Role of Machine Learning in Predictive Healthcare Analytics
Richa Suryavanshi, Rashmi Singh, Tanya Chauhan

5. Exploring the Role of AI in Neurology: Advancements in Brain Imaging and Mental Health Care
Tanya Chauhan, Richa Suryavanshi, Rashmi Singh

6. Machine Learning Perspectives for Detection of Parkinson’s Disease
Aman Sharma, Suraj Gupta, Umang Sharma, Rajni Mohana, Ramesh Chandra Poonia

7. Revolutionizing Chronic Disease Care With AI-Driven Wearable Technology
Rashmi Singh, Tanya Chauhan, Richa Suryavanshi

8. Digital Twin and Digital Triplet Technology in Healthcare: Benefits and Security
Considerations
Priyanka Tyagi, Neelam Shrivastava, Kajol Mittal, Garima Saini, Shitharth Selvarajan

9. Employing Deep Learning Paradigms for Fire and Smoke Detection
Swathi Gowroju, B. Spandana, Kota Harshitha, Jason Das, Umar Faaruk, Harsh Davey

10. Emerging Trends and Future Directions in Edge-Driven Intelligence
Pallab Banerjee, Dipra Mitra, Ahmad Faraz, Ashwani Kumar, Mohit Kumar

11. Advancements in Early Detection of Lung Cancer: A Comprehensive Review of AI-
Based Techniques
Takreem Fatima Khan, Swaleha Zubair

12. Fitness and Nutrition Planner Driven by AI
M Sirish Kumar, J Sankar Babu, A. Jyothi Babu, G. Laasyapriya

13. Introduction to AI and Data Science in Healthcare Applications
Raj Shekhar, Jaya Dash, Riwitika Gupta, Ashwani Kumar, Ramesh Chandra Poonia

14. AI-Driven Prediction of Drug-Target Interactions and Binding Affinity for Drug
Discovery in Healthcare
Tanya Liyaqat, Tanvir Ahmad, Mohammad Khalid Jamal

15. Enhanced Detection of Epileptic Seizure Using Supervised and Unsupervised Machine
Learning Algorithms
Sonia Juneja

16. Network Setup model Over a Private Blockchain Network Dealing with Security Issues
Priyanka Tyagi, Mohit Mittal, Latha Banda, Ashwani Kumar

Biography

Ashwani Kumar is working as a Professor, in the Department of Computer Science and Engineering, School of Engineering and Technology, at Bennett University, India. He has more than fourteen years of teaching and research experience. He has published more than seventy research papers in internationally reputed journals indexed in SCI/SCIE Web of Science and Scopus. His research area includes image security, watermarking techniques, multimedia applications, security and privacy, cryptography, and network security. He is also a lifetime member of professional societies like IEEE, ISTE, IACSIT, IAENG, and SDIWC.

Gautam Srivastava (Senior Member, IEEE) is currently a Professor of Computer Science at Brandon University, Brandon, Canada. In his 10-year academic career, he has published a total of 400 papers in high-impact conferences in many countries and high-status journals (SCI and SCIE). He is an Editor of several international scientific research journals, including IEEE Transactions on Industrial Informatics, IEEE Transactions on Computational Social Systems, and IEEE Internet of Things Journal.

P. K. Gupta is currently working as a Professor and academic coordinator, in the Department of Computer Science and Engineering, at Jaypee University of Information Technology (JUIT), Solan, India. He has more than twenty years of extensive experience in the IT industry and Academics in India and abroad. He has research experience in the Internet of Things, Artificial Intelligence, Cloud Computing, and Fog Computing. He has authored more than a hundred research papers in referred journals and international conferences. He is currently serving as a Life Member of the Computer Society of India (CSI), a Life member of the Indian Science Congress Association (ISCA), a Member of IEEE, a Professional member of ACM, a Senior member of IACSIT, and a Member of the Indian Society for Technical Education (ISTE).

Mohit Kumar is presently working as an Associate Professor in the Department of Computer Science & Engineering at Amity University Jharkhand, India. He has authored/ co-authored papers in reputed top-cited journals like IEEE Transaction in Industrial Informatics, IEEE Transaction on Network Science and Engineering, Journal of Information Science & Engineering, MDPI Sensors, Symmetry, Electronics, and many more with a cumulative impact factor of >50. His research interests include Wireless Sensor Networks, the Internet of Things, Data Science, Machine Learning, and Deep Learning.