This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA

Attention-based CNN-BiLSTM for SOH prediction of lithium-ion batteries

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

Implementation of a map matching algorithm called st-match

基于时间和空间特性的全局地图匹配算法，基础路网可根据 bbox 下载并处理得到

Map Matching

a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm

An arcpy based HMM map matching tool

随机森林，Random Forest（RF）