multi-omics studies by Ali Alyatimi (21571268)

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National and provincial burden of HIV/AIDS in China from 1990 to 2021, and deep learning-empowered forecast with scenarios simulation by Li (20471045)

Subjects: “…HIV/AIDS; China; Disease burden; Deep-learning algorithm; Scenarios simulation; forecasting…”

The Appendix 3 provides additional figures for "<b>Global</b><b>to</b><b>l</b><b>ocal</b><b>burden </b><b>and inequality</b><b>of </b><b>chronic kidney disease with frontier analys... by XIAN SHAO (11693422)

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Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation by Yuhuan Yue (824383)

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Study area at a lot-level resolution (Figure created by the authors). by Subin Ham (19704398)

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Result of the classification. by Subin Ham (19704398)

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Land lots and probabilities of being regular-shaped lots. by Subin Ham (19704398)

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Architecture of the neural network. by Subin Ham (19704398)

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Study and test areas (Figure created by the authors). by Subin Ham (19704398)

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Dataset configuration. by Subin Ham (19704398)

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The impact of step sizes on pressure prediction in fracturing treatment via deep learning algorithms by Yuxuan Liu (349237)

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Comparison of the trained results with other baseline models. by Rong Zhu (172093)

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Comparison of model parameters. by Rong Zhu (172093)

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Test performance of SE-MAConvLSTM and its variants on two datasets. by Rong Zhu (172093)

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Training process and validation process of SE-MAConvLSTM and SE-MAConvLSTM (No ResNet) on two datasets. by Rong Zhu (172093)

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Training and validation loss process of SE-MAConvLSTM on two datasets. by Rong Zhu (172093)

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TaxiNYC dataset comparison of predicted and true values for a given time period. by Rong Zhu (172093)

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S1 Dataset - by Rong Zhu (172093)

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Closeness attention. by Rong Zhu (172093)

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The training process and validation process of SE-MAConvLSTM and its variants on two datasets. by Rong Zhu (172093)

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