| Publication:
Papers:
-
Shimbre, N., & Solanki, R. K. (2025). Activation heatmap-guided FT-MultiCNN: Advancing skin cancer classification through transfer learning. Ingenierie des Systèmes d’Information, 30(5), 1349.
-
Patil, J. J., & Solanki, R. (2025). Hybrid deep learning-based security model for robust intrusion detection in IoT networks. EPJ Web of Conferences, 328, 01032.
-
Shimbre, N., & Solanki, R. K. (2025). ChestXFusionNet: A multimodal deep learning framework for predicting chest diseases from X-ray images and clinical data. EPJ Web of Conferences, 328, 01059.
-
Joshi, P., Goyal, S. B., Rajawat, A. S., Solanki, R. K., & Chen, C. (2024). Adaptive quantum learning frameworks. In Intelligent Computing and Optimization: Proceedings of the 7th International Conference on Intelligent Computing and Optimization . Springer.
-
Kolekar, S. M., & Solanki, R. K. (2024). Design and implementation of image data sharing through visual cryptography system: A comprehensive review. In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG).
-
Rajawat, A. S., Goyal, S. B., Solanki, R. K., Gadekar, A., & Patil, D. (2024). Dark web financial fraud identification using mathematical models in healthcare domain. JOIV: International Journal on Informatics Visualization, 8(1), 107–114.
-
Xiuliang, Q., Rajawat, A. S., Goyal, S. B., & Solanki, R. K. (2024). Enhancing security in distributed computing through quantum neural network-enabled blockchain. In International Conference on Intelligent Computing & Optimization (pp. 438–449).
|