Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model
DPIF-Net: a dual path network for rural road extraction based on the fusion of global and local information
Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems
Innovative road distress detection (IR-DD): an efficient and scalable deep learning approach
Spatio-temporal characterisation and compensation method based on CNN and LSTM for residential travel data
Trajectory classification to support effective and efficient field-road classification