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Hybrid TCN-Transformer Model

model1 events
papersTODAY 04:00 UTC

Hybrid TCN-Transformer Model Predicts Satellite Collision Risk from Conjunction Data

Researchers present a hybrid temporal convolutional network and transformer architecture designed to forecast satellite collision probability early, using conjunction data messages as input within a dedicated analysis framework. The work targets the growing operational load on satellite operators caused by more frequent close approaches in low Earth orbit as satellites and debris multiply.

satellites/space-debris/forecasting/deep-learning