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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

Meena Krishnan

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Review Open access 2024

AI-Driven Data Sampling Strategies for Efficient Model Training

This study reviews the evolution of AI-driven sampling strategies and proposes an adaptive framework that combines statistical sampling with intelligent decision-making mechanisms for real-time data selection, demonstrating that intelligent sampling can reduce training data requirements by 30–60% while maintaining over...

B. K, Meena Krishnan · 0 citations
Open access 2022

AI-Based Embedded Controllers for Precision Motion Systems

An embedded controller architecture based on AHRIAS—the AI-based embedded hierarchy for high-dynamic precision motion systems, integrating sensor fusion, edge intelligence, neural-network-based prediction technique and adaptive control algorithms is presented.

Meena Krishnan, A. Singh · 0 citations
Open access 2019

Smart Actuator Systems for Precision Robotic Applications

Smart actuator systems are vital to precision robotics, enabling enhanced control, adaptability, and performance in complex environments. Prior to 2018, major advancements in actuator technologies—such as piezoelectric, shape memory alloy (SMA), electroactive polymers (EAP), and magnetostrictive actuators—allowed integ...

Meena Krishnan · 0 citations
Review Open access 2023

The Emergence of Explainable Artificial Intelligence in Modern Decision Systems

A thorough and stepwise analysis of how XAI was created in current decision systems indicates that explainable models, in addition to increasing interpretability, can also help to improve debugging, bias detection and ethical AI deployment.

Meena Krishnan · 0 citations
Review Open access 2018

Sustainable Smart Buildings with AI-Based Energy Management

Findings indicate that AI-based systems can significantly improve energy efficiency, reduce carbon emissions, and enhance comfort, though challenges such as data privacy, system complexity, and initial costs remain.

Meena Krishnan · 0 citations
Review Open access 2025

Hybrid Knowledge Graph and Large Language Model Architectures for Predictive Analytics

This paper reviews hybrid KG–LLM frameworks for predictive analytics, highlighting graph embeddings, Retrieval-Augmented Generation (RAG), transformer-based reasoning, and contextual embedding fusion to improve prediction accuracy, interpretability, and robustness.

Meena Krishnan · 0 citations

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