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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

Kanade U

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3 papers indexed here

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Open access Aug 2026

Energy-Feasible and Traceable Recovery through a Green AI–FKF Risk Engine

Freight systems now absorb concurrent shocks from geopolitics, cyber intrusion, climate extremes, lane congestion, and tightly coupled operational dependencies. This study develops an integrated framework for AI-driven supply-chain risk prediction and mitigation by combining artificial intelligence, IoT, digital twins,...

Kanade U, S. S · 0 citations
Open access Aug 2026

Green, Traceable, and Energy-Feasible Mitigation with an AI–FKF Risk Engine

Contemporary logistics networks now face simultaneous pressure from geopolitics, cyber intrusion, climate shocks, freight bottlenecks, and tightly coupled operational dependencies. This study develops an integrated framework for AI-driven supply-chain risk prediction and mitigation by combining artificial intelligence,...

Kanade U, S. S · 0 citations
Open access Sep 2026

A Human-Centric Integrity Framework for Digital Twin–Enabled Quantum Logistics and Supply Chains

Gated multi-echelon twins must separate spectral confound from custody, grant, freshness, and surplus energy before any annealer is invoked. Raw IoT streams mix clock offset, intensity drift, stale packets, unauthorized holds, and physical-integrity loss with genuine structural disruption. An FKF–FKL layer isolates tra...

Kanade U, S. S · 0 citations

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