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K R Saranya

Showing results (1-10 of 5) with videos related to

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Computational Biology and Chemistry|August 27, 2024
DRN-CDR: A cancer drug response prediction model using multi-omics and drug featuresK R Saranya, E R Vimina
Computational Biology and Chemistry|March 10, 2024
TransNeT-CGP: A cluster-based comorbid gene prioritization by integrating transcriptomics and network-topological featuresK R Saranya, E R Vimina, F R Pinto
Scientific Reports|March 13, 2025
Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networksP Valarmathi, Y Suganya, K R Saranya, et al.
Scientific Reports|May 4, 2026
Adaptive homomorphic federated learning framework for multi-institutional medical imaging with optimized diagnostic accuracyL Josephine Usha, K R Saranya, Y Suganya, et al.
Scientific Reports|May 5, 2026
Transformer-assisted hierarchical deep reinforcement learning for energy and spectrum efficient MIMO-MC-CDMA in 6G networksK R Saranya, Y Suganya, L Josephine Usha, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Computational Biology and Chemistry|August 27, 2024
DRN-CDR: A cancer drug response prediction model using multi-omics and drug featuresK R Saranya, E R Vimina
Computational Biology and Chemistry|March 10, 2024
TransNeT-CGP: A cluster-based comorbid gene prioritization by integrating transcriptomics and network-topological featuresK R Saranya, E R Vimina, F R Pinto
Scientific Reports|March 13, 2025
Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networksP Valarmathi, Y Suganya, K R Saranya, et al.
Scientific Reports|May 4, 2026
Adaptive homomorphic federated learning framework for multi-institutional medical imaging with optimized diagnostic accuracyL Josephine Usha, K R Saranya, Y Suganya, et al.
Scientific Reports|May 5, 2026
Transformer-assisted hierarchical deep reinforcement learning for energy and spectrum efficient MIMO-MC-CDMA in 6G networksK R Saranya, Y Suganya, L Josephine Usha, et al.
Pageof 1