S. Kumar

Komalavalli, S., Kanan, M., Shifani, S., Kumar, S., Manasa, V., & Ramya, M. (2026). Fault Tolerant Probabilistic VLSI Design for Reliable Deep Learning Hardware Accelerators. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICOECA68095.2026.11485195

Kumar, N., Alam, M., Divya, G., Kumar, S., Shanmukhi, P., Prema, S., … Prasad, C. (2026). Corrosion Behaviour and Surface Modification Strategies of Stainless Steel Biomaterials: A Comprehensive Review. Journal of Bio- and Tribo-Corrosion, 12(2). https://doi.org/10.1007/s40735-026-01153-6

Priyanka, M., Vidya, Y., Manjunatha, H., Munirathnam, R., Manjunatha, S., Shivanna, M., … Krishnakanth, E. (2025). Green engineered zinc chromite doped with Sm3+ nanoparticles: Structural, photoluminescence and supercapacitor properties. Materials Science and Engineering: B, 322. https://doi.org/10.1016/j.mseb.2025.118503

Priyanka, M., Vidya, Y., Manjunatha, H., Munirathnam, R., Manjunatha, S., Shivanna, M., … Krishnakanth, E. (2025). Enhanced red luminescence, Judd–Ofelt intensity parameters and supercapacitor properties of Europium doped zinc chromite nanoparticles synthesized via green mediated combustion route. Applied Physics A: Materials Science and Processing, 131(6). https://doi.org/10.1007/s00339-025-08520-z

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