Unsok Ryu

Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China

Unjin Pak, Jun Ma, Unsok Ryu et al. · The Science of The Total Environment · 2019 · 316 citations

Spatiotemporal Correlations, Spatiotemporal Diagnostics, Machine Learning +11

A hybrid model based on convolutional neural networks and long short-term memory for ozone concentration prediction

Unjin Pak, Chungsong Kim, Unsok Ryu et al. · Air Quality Atmosphere & Health · 2018 · 138 citations

Ozone Concentration Prediction, Environmental Monitoring, Engineering +11

Construction of traffic state vector using mutual information for short-term traffic flow prediction

Unsok Ryu, Jian Wang, Thaeyong Kim et al. · Transportation Research Part C Emerging Technologies · 2018 · 77 citations

Intelligent Traffic Management, Traffic Theory, Engineering +8

A new LSTM based reversal point prediction method using upward/downward reversal point feature sets

U. Juhyok, Pengyu Lu, ChungSong Kim et al. · Chaos Solitons & Fractals · 2019 · 42 citations

Engineering, Machine Learning, New Lstm +3

A clustering based traffic flow prediction method with dynamic spatiotemporal correlation analysis

Unsok Ryu, Jian Wang, Unjin Pak et al. · Transportation · 2021 · 16 citations

Traffic Theory, Engineering, Traffic Flow +6