2026
Digitizing historical Kannada: An OCR approach for Yakshagana scripts based on glyph-to-Unicode dictionaries
GK Roopa, PS Thilagam, B Annappa
Digital Applications in Archaeology and Cultural Heritage, e00531YakshaVarnika — A Journey into the Soul of Yakshagana’s Legendary Characters using Deep Learning
GK Roopa, PS Thilagam, B Annappa, A Aparna, KS Poorvika, VS Swapna, et al.
International Conference on Sustainable Innovation with Artificial Intelligence
2025
H-Infinity Filter Enhanced CNN-LSTM for Arrhythmia Detection from Heart Sound Recordings
R Shinoj Kumar, R Dinda, A Tyagi, B Annappa
arXiv, arXiv:2511.02379AdaptiveSegNet: A hierarchical network with adaptive multiscale and multidilation blocks for remotely sensed image segmentation
A Putty, A Basava, P Raghunath, SP Perumal
Journal of Applied Remote Sensing, 19(4), 048503Pod Scheduling and Proactive Resource Management in an Edge Cluster using MCDM and Federated Learning
NK MR, A B, S Srinivasan, SS Sand
Journal of Grid Computing, 23(3), 24Smart client selection strategies for enhanced federated learning in digital healthcare applications
S DN, A B, S Ambesange
Multimedia Tools and Applications, 84(19), 21589–21604Optimization of Resource and Energy in Distributed Systems Using Unified Genetic Algorithm
G Dhruthi, NM Sinchana, B Annappa, MR Naveen Kumar
3rd International Conference on Advancement in Computation & Computer Sciences (ICAC3S)Semantic segmentation of remotely sensed images for land-use and land-cover classification: a comprehensive review
A Putty, B Annappa, S Pariserum Perumal
IETE Technical Review, 42(2), 222–237EdgeFedNet: Edge Server Based Communication and Computation Efficient Federated Learning
L Gowtham, B Annappa, DN Sachin
SN Computer Science, 6(3), 249BENN: Balanced ensemble neural network for handling class imbalance in big data
SH Ramesh, A Basava, SP Perumal
Expert Systems, 42(2), e13754Reinventing Urban Mobility with Reinforcement Learning
A Anand, P Anne, R Sanjay, B Annappa
Computing and Machine Learning: Proceedings of CML 2024, Vol. 2, p. 51Efficient Kalman filter based deep learning approaches for workload prediction in cloud and edge environments
MR Naveen Kumar, B Annappa, V Yadav
Computing, 107(1), 10