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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

M. Mete

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3 papers indexed here

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Open access Oct 2026

Development of an Explainable GeoAI Wildfire Risk Analysis Model Using Multi-Source Geospatial Data

Accounting for approximately 31% of the global land surface, forests play a critical and indispensable role in sustaining ecological balance. Among the various pressures affecting forests, forest fires constitute a major environmental problem, posing significant threats to natural ecosystems while disrupting forestry a...

E. Günaydın, M. Mete, Furkan Ali Küçük et al. · 0 citations
Open access Aug 2026

Leveraging Geospatial Big Data for Smart City Digital Twins: A Framework for 3D Modeling and Solar Energy Assessment

Abstract. This study presents a semi-automated Level of Detail (LoD) 2 building modelling and analysis framework, implemented using fully open-source geographic information system (GIS) software, for the high-accuracy identification of rooftop photovoltaic (PV) potential in smart city digital twins. The LoD 1 building...

Muhammed Yahya Bıyık, M. Mete · 0 citations
#generative ai Open access Aug 2026

A Comprehensive Disaster Risk Analysis Model With GeoAI

A disaster risk analysis model coupling Geographic Information Systems, ensemble machine learning, and AI-driven interpretation tools, collectively termed GeoAI, to support multi-hazard risk assessment, resilience planning, and citizen-oriented risk communication.

M. Mete, Muhammed Yahya Bıyık, Zeynep Ceyda Karakaya · 0 citations

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