SE-MACONVLSTM: A DEEP LEARNING FRAMEWORK FOR SHORT-TERM TRAFFIC FLOW PREDICTION COMBINING SQUEEZE-AND-EXCITATION NETWORK AND MULTI-ATTENTION CONVOLUTIONAL LSTM NETWORK.

SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network.

Traffic flow prediction is an important part of transportation management and planning.For example, accurate demand prediction of taxis and online car-hailing can reduce the waste of resources caused by empty cars.The prediction of public bicycle flow can be more reasonable to plan the release and deployment of public bicycles.There are three diffi

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Assessment of PRRSV and PCV2 seroprevalence and antigen prevalence in minipigs at laboratory-animal production facilities

Objective: Pigs are used in various biomedical research fields because of their anatomical and physiological similarities to humans.While farm Choline pigs are raised outdoors for several months, minipigs are typically raised in indoor barrier facilities for several years.Although numerous studies have investigated the prevalence of major pathogens

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