Jacob, Y., Janney, B., Hemalatha, R., & Preethi, S. (2025). Optimised hybrid deep learning classification model for kidney stone diagnosis. Results in Engineering, 26. https://doi.org/10.1016/j.rineng.2025.105221
ISE
Aswini, K. R. N., Gopal, S. M. N., Tabassum, H., Loganathan, D., Kurian, S., & Sarumathi, S. (2024). A Literature Survey—Application of Image Processing for the Effective Diagnosis of Rod Cone Dystrophy Using OCT. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-97-7616-0_17
Soubhagyalakshmi, P., & Reddy, S. (2019). Empirical survey on BYOD security and usage. International Journal of Recent Technology and Engineering, 8(1), 2784-2788,.
Raghavendra, T., & Mohan, K. (2019). Web mining and minimization framework design on sentimental analysis for social tweets using machine learning. Elsevier B.V. https://doi.org/10.1016/j.procs.2019.05.047
Reddy, K., & Yashoda, M. (2018). Intelligent routing protocols for communication in internet of things: A survey. Journal of Computational and Theoretical Nanoscience, 15(1112), 3291-3296,. https://doi.org/10.1166/jctn.2018.7613
Kumar, A., & Reddy, S. (2019). Research on secure D2D communication using lightweight cryptographic techniques. International Journal of Recent Technology and Engineering, 8(1 SpecialIssue4), 667-675,.
Pankaja, K., & Suma, V. (2019). Leaf recognition and classification using Chebyshev moments. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-13-1927-3_70
Priyanka, R., & Satyanarayan, R. (2020). A comprehensive survey on energy efficient routing techniques and various attacks in wireless sensor networks. International Journal on Emerging Technologies, 11(2), 57-65,.
Deepthi, S., & Dixit, S. (2017). An efficient face image retrieval system based on attribute sparse codewords. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SCOPES.2016.7955843
Ganesh, D., Patil, K., & Suresh, L. (2019). Q-FRPML: QoS-Centric Fault-Resilient Routing Protocol for Mobile-WSN Based Low Power Lossy Networks. Wireless Personal Communications, 105(1), 267-292,. https://doi.org/10.1007/s11277-018-6112-8
