ARCHIVES

1. Manjiri Ranade (2024), “Artificial Intelligence in Ayurveda: Current Concepts and Prospects”, Journal of Indian System of Medicine.
2. Ishwari Sachan, Vikash Sahu (2025), “Artificial Intelligence in Ayurveda: A Simple Overview”, Journal of Ayurveda and Integrated Medical
Sciences.
3. Vidhi Sharma et al. (2025), “Scope of Artificial Intelligence in Ayurveda Bridging Tradition with Technology”, TIJER Journal.
4. S. K. Gupta and A. P. Agarwal (2021), “Predicting Total Sugar Production Using Multivariable Linear Regression”, International Conference
on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India.
5. “Artificial Intelligence (AI) in Ayurveda: Its Application and Scope” (2025), Ayushdhara Journal.
6. S. Seshan, M. M. Sharma, V. Prakash (2024), “Integration of Artificial Intelligence in Ayurveda Diagnostics”, Journal of Ayurveda and
Integrated Medical Sciences.
7. A. Rajkomar, J. Dean, I. Kohane (2019), “Machine Learning in Medicine”, New England Journal of Medicine.
8. Neelam Labhade-Kumar, Mangala S. Biradar, Ashvini Narayan Pawale (2024), “Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mechanism Optimization with Non-Linear Analysis”, Journal of Computational Analysis and Applications, Vol. 33 No. 05.
9. Neelam Labhade-Kumar (2021), “Shot Boundary Detection Using Artificial Neural Network”, Advances in Signal and Data Processing,
Lecture Notes in Electrical Engineering, Springer, Vol. 703, and pp. 44-55.
10. Neelam Labhade-Kumar (2024), “Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and
Statistical Analysis of the Hybrid Energy-Efficient Distributed (HEED) Algorithm”, Communications on Applied Nonlinear Analysis, Vol.
31 No. 6s, pp. 602-617.
11. Neelam Labhade-Kumar (2024), “Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller
and Smart Sensors”, 7th International Conference on Inventive Computation Technologies, IEEE Xplore, pp. 1961-1968.
12. Dr. Neelam Labhade-Kumar (2022), “Novel Management Trends Using IoT in Indian Automotive Spares Manufacturing Industries”, Journal
of Pharmaceutical Negative Results, Vol. 13 Issue 09, pp. 4887-4899.
13. Dr. Neelam Labhade-Kumar (2023), “Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission in WSN”, Journal of
Pharmaceutical Negative Results, Vol. 14 Issue 02, pp. 480-484.
14. Neelam Labhade-Kumar (2023), “Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT
Scans”, Journal of Artificial Intelligence and Technology.
15. Neelam Labhade-Kumar (2023), “Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and
Deep Learning Techniques”, Carpathian Journal of Food Science and Technology, Special Issue, pp. 1-18.
16. Neelam Labhade-Kumar (2024), “Accident Prevention and Management System in Urban VANET for Improving Slippery Roads Ride after
Rain”, Journal of Environmental Protection and Ecology, Vol. 25 Issue 2, pp. 586-599.
17. Prof. Dr. Neelam Labhade-Kumar (2024), “An Image Processing Method for Kidney Stone Segmentation in CT Scan Images Based on
CNN-Regularized Extreme Learning Machine Approach”, Hybrid and Advanced Technologies, pp. 217-222.
18. P. Hamet and J. Tremblay (2017), “Artificial Intelligence in Medicine”, Metabolism, Vol. 69, pp. S36-S40.
19. J. Yu, X. Zhang, Y. Wang (2023), “Machine Learning Applications in Traditional Medicine and Healthcare Systems”, Journal of Healthcare
Engineering, Vol. 2023, pp. 1-12.
20. R. Sharma, S. Patel, M. Verma (2024), “Digital Transformation in Ayurveda Healthcare Management Using Artificial Intelligence”,
International Journal of Advanced Computer Science and Applications, Vol. 15 No. 2, pp. 101-108.