ARCHIVES

1. Liu, L., & Li, J. (2024). The Application of Style Transfer Algorithms in the Innovative Design of Miao Ethnic Embroidery Patterns. 2024
5th International Conference on Intelligent Design (ICID), 25–27 October 2024, Xi’an, China, IEEE.
https://ieeexplore.ieee.org/document/11024740
2. Chen, S. (2019). The Application Status and Future Prospects of Computer in Garment Management. 2019 3rd International Conference on
Data Science and Business Analytics (ICDSBA), 11–12 October 2019, Istanbul, Turkey, IEEE.
https://ieeexplore.ieee.org/document/9270142
3. Wang, J., Zeng, J., & Sheng, J. (2024). Enhancing and Accelerating Image-Text Retrieval with Knowledge Graphs and FAISS. 2024
IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 09–12 December 2024, Bangkok,
Thailand, IEEE. https://ieeexplore.ieee.org/document/10973506
4. Danner, M., Brake, E. A., Kosel, G., Kyosev, Y., Rose, K., Rätsch, M., & Cebulla, H. (2024). AI-assisted Pattern Generator for Garment
Design. Communications in Development and Assembling of Textile Products (CDATP), Vol. 5, No. 2, pp. 195–206. https://doi.org/10.25367/cdatp.2024.5.p195-206
5. Wu, Y. (2023). Research on Embroidery Image Recognition Based on Deep Learning. Proceedings of SPIE 12799, Third International
Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127991U, 10 October 2023.
https://doi.org/10.1117/12.3005861
6. Sha, S., Li, Y., Wei, W., Liu, Y., Chi, C., Jiang, X., Deng, Z., & Luo, L. (2024). Image Classification and Restoration of Ancient Textiles
Based on Convolutional Neural Network. International Journal of Computational Intelligence Systems, 17, Article 11.
https://doi.org/10.1007/s44196-023-00381-9
7. Neelam Labhade-Kumar, 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