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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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Ayato Kanno

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Open access Aug 2026

Aitchison-Loss Training with Geospatial Embeddings Sharpens Compositional Land-Cover Maps

The combination of Embedding V1, MLP, and Aitchison distance loss achieved the best overall performance, suggesting that foundation model embeddings combined with compositional losses can improve sub-pixel land-cover estimation.

Ayato Kanno, N. Tsutsumida · 0 citations

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