ARCHIVES

1. Gupta, N., & Bansal, R. (2023). Integration of Chatbots in Fitness Applications Using Natural Language Processing. International Journal of
Artificial Intelligence Research, 11(2), 75–83.
2. Chatterjee, S., & Mishra, P. (2023). AI-Driven Health Monitoring Applications Using Mobile Platforms and Cloud Services. IEEE Access,
11, 48516– 48528. https://doi.org/10.1109/ACCESS.2023.3257804
3. Sharma, V., & Agarwal, S. (2022). Smart Health and Fitness Tracker Using AI and Android Platform. International Research Journal of
Engineering and Technology (IRJET), 9(6), 1224–1230.
4. Kumar, A., Singh, P., & Gupta, R. (2022). AI-Based Fitness and Health Monitoring System Using CNN and IoT. International Journal of
Innovative Research in Computer and Communication Engineering, 10(4), 2456–2463.
5. Zhang, Y., Zhao, Z., Chen, X., & Li, J. (2021). Human Activity Recognition Using Deep Convolutional Neural Networks for Smart Fitness
Applications.
6. Singh, R., & Chauhan, A. (2021). Artificial Intelligence in Fitness and Nutrition Management: A Review. Journal of Emerging Technologies
and Innovative Research (JETIR), 8(9), 654–661.
7. Neelam LabhadeKumar, Mangala S Biradar, Ashvini Narayan Pawale,"Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mechanism Optimization with Non-Linear Analysis"Journal of Computational Analysis and Applications, Vol. 33 No. 05 (2024)
8. Neelam Labhade-Kumar “Shot Boundary Detection Using Artificial Neural Network”, Advances in Signal and Data Processing. Lecture
Notes in Electrical Engineering, Springer, Vol 703. PP-44-55 Jan-2021
9. Neelam Labhade-Kumar 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, ISSN: 1074-
133XVol 31 No. 6s (2024), PP-602-617 August 2024
10. Neelam Labhade-Kumar “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 Part Number : CFP24F70-ART ; ISBN : 979-
8-3503-5929-9, 2024,PP-1961-1968
11. Dr.Neelam Labhade-Kumar “Novel Management Trends Using IOT in Indian Automotive Spares Manufacturing Industries”, Journal of
Pharmaceutical Negative Results , Vol. 13 ISSUE 09,PP 4887-4899, Nov-2022.
12. Dr.Neelam Labhade-Kumar “Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission In WSN”, Journal of Pharmaceutical
Negative Results, Vol. 14 ISSUE 02,PP-480-484, Jan-2023,
13. Neelam Labhade-Kumar “Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans”,
Journal of Artificial Intelligence and Technology, 2023
14. Neelam Labhade-Kumar “Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep
Learning Techniques”, Carpathian Journal of Food Science and Technology,2023, Special Issue, 1-18
15. Neelam Labhade-Kumar “Accident prevention and management system in urban VANET for improving slippery roads ride after rain”Journal
of environmental protection and ecology, ISSN:1311-5065 Issue 2 volume 25,PP 586–599,2024
16. Prof. Dr. Neelam Labhade-Kumar, 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- 217-222,202 [16]. Neelam Labhade-Kumar “Accident
prevention and management system in urban VANET for improving slippery roads ride after rain” Journal of environmental protection and
ecology, ISSN:1311-5065 Issue 2 volume 25,PP 586–599,2024
17. Prof. Dr. Neelam Labhade-Kumar, 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- 217-222,202.