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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

A. M. Mangini

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3 papers indexed here

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Conference Aug 2026

Optimization of Smart Building Performance Based on the Smart Readiness Indicator

This paper presents a rigorous mathematical model and an innovative methodology for optimizing smart building performance through the Smart Readiness Indicator (SRI), a key tool that can help address the energy inadequacy of Europe's building stock, which requires intelligent retrofits to meet nZEB standards and emissi...

G. Rana, M. Roccotelli, A. M. Mangini et al. · 0 citations
Conference Aug 2026

Adaptive Position-Loop PID Gain Tuning for UAVs Using Deep Reinforcement Learning

Unmanned aerial vehicles (UAVs) require accurate and robust position tracking in the presence of environmental disturbances. Although outer-loop position control is typically implemented using PID regulators, manual gain tuning is timeconsuming and often leads to suboptimal performance, especially under wind uncertaint...

Ruo-Tian Liu, Antonio Salcuni, Shao-Peng Hu et al. · 0 citations
Conference Aug 2026

Proactive Quality of Service Mapping in 6G Vehicular Networks: A Data-Driven Spatial Approach Using Random Forest Algorithm

Proactive Quality of Service (QoS) estimation is crucial for reliable, low-latency 6G vehicular networks. This paper proposes a data-driven framework for generating predictive QoS heatmaps, significantly reducing the overhead of continuous channel state monitoring. Leveraging an OMNeT++/Simu5G and Simulation of Urban M...

Michele Marvulli, Giuseppe Cicorella, Wasim A. Ali et al. · 0 citations

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