quhaoh233 Goto Github PK

all

ALL is a pre-training method based on Federated Meta-Learning and Reinforcement Learning, which is used to address the small-sample issues of parking occupancy prediction.

cll

ev_charging_in_shenzhen

It is an quantitative analysis based on a real-world dataset of 18,013 public EV charging piles in Shenzhen, China. We revealed several noteworthy phenomena: the price elasticity of local and surrounding EV charging demand were -0.76 and 0.58, respectively, while the scope of the spillover effect was approximately 3.45km.

git-test

human-posture-classification

An integrated network enables GCN+LSTM+TransfermorEncoderLayer for Human Posture Classification, which achieves an average of 80% accuracy.

meta-tsd-gru

An integrated approach for the near real-time parking occupancy prediction

page

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

quhaoh233

Config files for my GitHub profile.