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ENTITY LSTM-Attention

LSTM-Attention

PulseAugur coverage of LSTM-Attention — every cluster mentioning LSTM-Attention across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_206133 ·

    New generative framework creates realistic synthetic populations for travel models

    Researchers have developed a novel two-stage generative framework to create realistic synthetic populations for activity-based travel demand models. The first stage uses a regularized Wasserstein GAN with gradient penal…

  2. TOOL · CL_113481 ·

    Federated learning framework enhances carbon emission forecasting with hybrid models

    This paper introduces a novel federated learning framework designed for accurate and privacy-preserving global carbon emission forecasting. The approach combines statistical models like ARIMA and GARCH with neural netwo…