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A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)

A phased adoption roadmap is proposed: beginning with MCP for tool access, followed by ACP for structured, multimodal messaging session-aware interaction and both online and offline agent discovery across scalable, HTTP-based deployments A2A for collaborative task execution, and extending to ANP for decentralized agent marketplaces.
arXiv (opens in a new tab)

Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework

An open-source, agent-based framework that integrates Large Language Models with HL7 FHIR data via the Model Context Protocol for dynamic extraction and reasoning over electronic health records (EHRs) and delivers scalable, explainable, and interoperable AI-powered EHR applications.
IEEE (opens in a new tab)

Early Detection of Pediatric Pneumonia Using Google’s HeAR Model: A Respiratory Sound Embedding Approach

The results highlight the potential of short respiratory clips, processed through foundation audio models, to enable early and explainable screening for pediatric pneumonia, and supports the development of AI-assisted diagnostics in child healthcare.
IEEE (opens in a new tab)

Evaluating AI-Assisted Search vs. Traditional Keyword Search: A Comparative Study of ChatGPT and Google

A hybrid search model combining the speed of AI with the accuracy of traditional search engines is proposed to optimize future information retrieval and suggest that while AI-assisted search enhances user convenience, traditional search engines remain superior in terms of factual trustworthiness.
IEEE (opens in a new tab)

A Systematic Literature Review on SWOT Analysis of Prompt Engineering Techniques

Publisher (opens in a new tab)

Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches

Five prominent approaches to registry infrastructures requiring verifiable identity, adaptive discovery flows, and interoperable capability semantics are analyzed and design recommendations for an emerging Internet of AI Agents are recommended.
IEEE (opens in a new tab)

Large Language Models in Wearable Devices: Applications, Challenges, and Future Directions

This survey presents a comprehensive overview of current research efforts that integrate LLMs with wearable systems to analyze wearable data to generate personalized insights within wearable platforms such as smartwatches, neural interfaces, and fitness ecosystems.
IEEE (opens in a new tab)

Tutorial 1

    Aditi Singh
    Computer Science, Education
    2017 Third International Conference on Mobile and…
  • 2017
“IoT, Big (Input) Data, and Learning Complexity”. Pr Selwyn Piramuthu professor of Information Systems at the University of Florida (Gainesville).
IEEE (opens in a new tab)

A Survey on Large Concept Models: Advancing Applications in Healthcare, Finance, and Education

An overview of Large Concept Models is provided, highlighting how concept-based modeling can address some limitations of token-based LLMs, offering improvements in multilingual understanding, long-form content generation, and abstract reasoning.
IEEE (opens in a new tab)
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