Spatio-temporal time series forecasting with trap catch data of oriental fruit moth (<i>Grapholita molesta</i>) in peach (<i>Prunus persica</i>) orchards in South Korea. [PDF]
Kim S, Heo S.
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The forecasting of pediatric asthma clinic visits: A comparative analysis of time-series models under varying training set sizes. [PDF]
Zhang X +6 more
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An intelligent monitoring system for forecasting and anomaly detection in precision beekeeping. [PDF]
Huet JC, Bougueroua L, Metidji SA.
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Benchmarking econometric, decomposable additive, and neural network methods for food inflation prediction featuring policy insights. [PDF]
Javed A.
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Predictive analysis of greenhouse gas emissions from electric vehicle charging in the United States. [PDF]
Amirgholy M +3 more
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Dynamic demand forecasting and capacity assessment for emergency care system: a hybrid time series and machine learning approach with evidence from Beijing. [PDF]
Zhao Y.
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Deep learning-enabled cherry price forecasting and real-time system deployment across multi-market supply chains in India. [PDF]
Shaheen FA +5 more
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Comparison of ARIMA and FB-Prophet time series models for the prediction of national and regional malaria incidence in Uganda. [PDF]
Fuller B +7 more
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Incidence of acute hemorrhagic conjunctivitis in Chongqing: a forecasting study based on mathematical models. [PDF]
Xian X +7 more
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A data privacy and deep learning based AMR dashboard for rural and regional veterinary practices in Texas. [PDF]
Gopali S +4 more
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