S. Kumar

M., P. ., Vidya, Y. ., Manjunatha, H. ., Munirathnam, R. ., Manjunatha, S. ., Shivanna, M. ., … Seenappa, L. . (2025). Effect of terbium concentration on green emission and supercapacitance properties of Zinc chromite nanoparticles. Inorganic Chemistry Communications, 173. https://doi.org/10.1016/j.inoche.2024.113776

Kumar, S. ., & Suresh, L. . (2020). Fruit Fly-Based Artificial Neural Network Classifier with Kernel-Based Fuzzy c-Means Clustering for Satellite Image Classification. International Journal of Image and Graphics, 20(2), 2050016+. https://doi.org/10.1142/S0219467820500163

Kumar, S. ., & Setty, S. . (2022). Remote Sensing Scene Type Classification Using Multi-Trial Vector-Based Differential Evolution Algorithm and Multi-Support Vector Machine Classifier. International Journal of E-Collaboration, 18(1). https://doi.org/10.4018/IJeC.301259

Renuka, G. ., Kanniyappan, S. ., Manjunatha, S. ., Kumar, S. ., Varalakshmi, K. ., Budhale, K. ., … Rajaram, A. . (2024). OPTIMISING ENERGY EFFICIENCY IN CLOUD-BASED BIG DATA ENVIRONMENT USING LSTM-DWN REINFORCEMENT LEARNING. Journal of Environmental Protection and Ecology, 25(5), 1594-1603.

Kumar, S. ., & Setty, S. . (2023). UFS-LSTM: unsupervised feature selection with long short-term memory network for remote sensing scene classification. Evolutionary Intelligence, 16(1), 299-315. https://doi.org/10.1007/s12065-021-00660-4