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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

R. Kanse

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2 papers indexed here

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Open access Sep 2026

WAVELET-KOOPMAN PROTOTYPE TRANSPORT LEARNING FOR CROSS-DATASET CHILD AFFECT AND ENGAGEMENT GENERALIZATION

A significant challenge in automated child affect and engagement analysis is transferring a model across datasets, as recording conditions, child behaviour, temporal effects, and annotation schemes vary and can seriously impact model reliability. To address this challenge and enable robust cross- dataset behavioural re...

R. Kanse, Sohit Agarwal · 0 citations
#explainable ai Open access Oct 2026

ORDINAL-EVIDENTIAL DYNAMIC HYPERGRAPH STATE-SPACE LEARNING FOR RELIABLE CHILD ENGAGEMENT RISK PREDICTION

The recognition of children's engagement and behavioural risk is critical to building a trusted AI-based approach to education and mental health support. However, current work shows that common engagement-recognition methods lack modelling of complex facial–temporal interactions, do not capture the ordering of engageme...

R. Kanse, Sohit Agarwal · 0 citations

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