Air Traffic Management Research Institute (ATMRI) | NTU Singapore

Air Traffic Management Research Institute (ATMRI)

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Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)

A reinforcement learning approach for flight rerouting in space launch failure scenarios with dynamic debris hazards

Advancing beyond conformal conflict resolution in air traffic control: balancing efficiency and conformance

Unlocking the capabilities of explainable few‑shot learning in remote sensing

HELA-VFA: a hellinger distance-attention-based feature aggregation network for few-shot classification