Author

K. Saranya

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Conference Aug 2026

Intelligent Intrusion Detection in IoT Networks Using Hybrid LSTM2LP Algorithm

Intrusion identification has become essential for blocking unwanted traffic in IoT networks. To protect networks and information from various cyber-attacks, a wide range of intrusion detection techniques have been developed. Machine learning, capable of handling massive amounts of data, has demonstrated strong performa...

P. Devi, M. Prasannakumar, M. Revathi et al. · International Workshop on Ar... · 0 citations

Open access Aug 2026

Quantum-optimized spatio-temporal transformer for multimodal cardiovascular risk prediction from clinical and wearable data

Introduction Cardiovascular risk prediction remains a difficult problem due to the extreme class imbalance, time sparsity, non-uniform sampling, and heterogeneity of electronic health record and wearable sensor streams in the real world. Methods A multimodal cardiovascular risk prediction framework called Quantum-Optim...

S. Sathya, K. Saranya · Frontiers in Cardiovascular... · 0 citations

#federated learning Open access Sep 2026

Fed-XLM-R: a privacy-preserving federated framework with adapter-scoped differential privacy for mental health triage-level intent classification on resource-constrained edge devices

Overall, Fed-XLM-R demonstrates that privacy-preserving, communication-efficient, and edge-deployable federated NLP is achievable without substantial accuracy loss, offering a practical pathway toward privacy-compliant mental health triage systems pending real-world and multilingual validation.

K. M., Emerson Raja Joseph, Subhash Patil et al. · Frontiers in Digital Health · 0 citations