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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Mahabala H. N.

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18 papers indexed here

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Review Open access 2024

The Emergence of Explainable AI in Modern Decision Systems

A methodology is advanced to embed explainability in the AI decision-making process, starting from data preprocessing to generating explanations and human evaluation, and the results highlight the potential of explainability to enhance human comprehension and foster responsible use of AI systems in high-stakes decision-making scenarios.

Mahabala H. N. · 0 citations
Open access 2025

Federated Learning Framework for Privacy-Preserving Smart Infrastructure Monitoring

This paper proposes a Federated Learning Framework for Privacy-Preserving Smart Infrastructure Monitoring (FL-PSIM), which enables decentralized model training without transferring raw infrastructure data and optimizes global learning while maintaining local data privacy.

Mahabala H. N. · 0 citations
Open access 2025

Hybrid Digital Twin and IoT Framework for Smart Building Energy Optimization

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. · 0 citations
Review Open access 2025

Transformer-Based Visual Perception Models for Autonomous Robots

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. · 0 citations
Open access 2021

Hybrid Knowledge Graph and Large Language Model Architectures for Predictive Analytics

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. · 0 citations
Open access 2025

Federated Predictive Learning with Privacy-Aware Model Aggregation for Distributed Analytics

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 · 0 citations

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