Gate-iInformer: Enhancing Long-Sequence Fuel Forecasting in Aviation via Inverted Transformers and Gating Networks

Accurately predicting aircraft fuel consumption is vital for aviation safety, operational efficiency, and resource optimization, yet existing models face key limitations. Traditional physical models rely on prior assumptions, while mainstream deep learning models use fixed architectures and time-sli...

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