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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

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L. Nistor-Lopatenco

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Review Open access Sep 2026

Towards an AI-Ready LADM Framework for GeoAI-Enhanced Land Administration: Semantic Mediation, Uncertainty Representation and Legal Validation

The increasing availability of geospatial data and the rapid development of geospatial artificial intelligence (GeoAI) create new opportunities for modernizing cadastral and land administration systems. However, integrating probabilistic GeoAI outputs into systems structured according to the Land Administration Domain...

A. Badea, Gheorghe Badea, L. Nistor-Lopatenco et al. · 0 citations

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