A Hybrid Digital Twin–IoT Framework that integrates real-time IoT sensing, cloud-edge computing, machine learning, and Digital Twin simulation for intelligent energy optimization for scalable, sustainable, and energy-efficient smart building management with improved reliability and decision-making is proposed.
Mahabala H. N.· International Journal of Mod...· 0 citations
Experimental evaluations demonstrate that the proposed framework outperforms CNN-based and hybrid approaches on standard robotic perception benchmarks, achieving over 98% visual perception accuracy with improved scene understanding, localization, obstacle detection, navigation, and computational efficiency.
Mahabala H. N.· International Journal of Int...· 0 citations
This paper presents a comprehensive framework integrating graph embeddings, retrieval-augmented generation (RAG), transformer-based reasoning, attention mechanisms, and contextual embedding fusion to improve prediction accuracy, explainability, and robustness.
Mahabala H. N.· International Journal of Int...· 0 citations
This study proposes a Federated Predictive Learning with Privacy-Aware Model Aggregation (FPL-PAMA) framework, suitable for applications including healthcare, IoT, smart manufacturing, transportation, and financial fraud detection, providing a secure and scalable solution for next-generation distributed intelligent systems.
Mahabala H. N., Seshagiri N· International Journal of Mac...· 0 citations
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