QLIF-CAST uses single-qubit quantum states to simulate leaky integrate-and-fire spiking dynamics in a recurrent architecture, achieving 15.4% lower MSE than classical LIF and up to 94% faster convergence than QLSTM on weather and air quality benchmarks.
Convolutional lstm network: A machine learning approach for precipitation nowcasting
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MAG-Net integrates radar dynamics with satellite IR, WV, and BTD channels via dual-stream encoding and uncertainty-weighted decoding to raise CSI40 by 0.083 over prior baselines for intense convective events.
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