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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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Elena Kakoulli

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#explainable ai Open access Sep 2026

AI4WaterGuard: AI-Driven Detection of Illegal Water Abstractions Using Earth Observation (EO)

AI4WaterGuard is a pipeline for detecting illegal agricultural water abstractions from Earth Observation and weather reanalysis time series. It covers Google Earth Engine data collection, unsupervised anomaly detection model training (autoencoder, ConvLSTM-VAE, Isolation Forest, and STL baselines), post-processing of anomaly scores into abstraction event candidates, explainability analysis, and spatiotemporal event clustering, over an agricultural region of Cyprus.

Elena Kakoulli, Anastasios Antoniades · 0 citations
#explainable ai Open access Sep 2026

AI4WaterGuard: AI-Driven Detection of Illegal Water Abstractions Using Earth Observation (EO)

AI4WaterGuard is a pipeline for detecting illegal agricultural water abstractions from Earth Observation and weather reanalysis time series. It covers Google Earth Engine data collection, unsupervised anomaly detection model training (autoencoder, ConvLSTM-VAE, Isolation Forest, and STL baselines), post-processing of anomaly scores into abstraction event candidates, explainability analysis, and spatiotemporal event clustering, over an agricultural region of Cyprus.

Elena Kakoulli, Anastasios Antoniades · 0 citations

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