Traffic Data-Empowered XGBoost-LSTM Framework for Infectious Disease Prediction
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DOI: 10.1109/tits.2022.3172206
Abstract: Large-scale infectious diseases pose a tremendous risk to humans, with global outbreaks of COVID-19 causing millions of deaths and trillions of dollars in economic losses. To minimize the damage caused by large-scale infectious diseases, it… read more here.
Keywords: disease; infectious diseases; infectious disease; disease prediction ... See more keywords
Prediction of Dichloroethene Concentration in the Groundwater of a Contaminated Site Using XGBoost and LSTM
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19159374
Abstract: Chlorinated aliphatic hydrocarbons (CAHs) are widely used in agriculture and industries and have become one of the most common groundwater contaminations. With the excellent performance of the deep learning method in predicting, LSTM and XGBoost… read more here.
Keywords: contaminated site; xgboost; groundwater; xgboost lstm ... See more keywords