Deep neural networks for traffic flow prediction H Yi, HJ Jung, S Bae
2017 IEEE international conference on big data and smart computing (BigComp …, 2017
171 2017 Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues KHN Bui, J Cho, H Yi
Applied Intelligence 52 (3), 2763-2774, 2022
126 2022 An automated hyperparameter search-based deep learning model for highway traffic prediction H Yi, KHN Bui
IEEE Transactions on Intelligent Transportation Systems 22 (9), 5486-5495, 2020
56 2020 Anomalous spin susceptibility and magnetic polaron formation in the double-exchange systems H Yi, NH Hur, J Yu
Physical Review B 61 (14), 9501, 2000
48 2000 A multi-class multi-movement vehicle counting framework for traffic analysis in complex areas using CCTV systems KHN Bui, H Yi, J Cho
Energies 13 (8), 2036, 2020
43 2020 Strdan: Synthetic-to-real domain adaptation network for vehicle re-identification S Lee, E Park, H Yi, SH Lee
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
39 2020 A vehicle counts by class framework using distinguished regions tracking at multiple intersections N Bui, H Yi, J Cho
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
36 2020 Double-exchange model with background superexchange interactions: Phase diagrams of H Yi, J Yu
Physical Review B 58 (17), 11123, 1998
36 1998 Implementing a deep learning framework for short term traffic flow prediction H Yi, KHN Bui, H Jung
Proceedings of the 9th international conference on web intelligence, mining …, 2019
35 2019 Traffic density classification using sound datasets: an empirical study on traffic flow at asymmetric roads KHN Bui, H Oh, H Yi
IEEE Access 8, 125671-125679, 2020
29 2020 Au wetting and nanoparticle stability on GaAs (111) B E Hilner, A Mikkelsen, J Eriksson, JN Andersen, E Lundgren, A Zakharov, ...
Applied physics letters 89 (25), 2006
27 2006 Deep deterministic policy gradient for autonomous vehicle driving H Yi
Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2018
21 2018 Suppression of ferromagnetic ordering in doped manganites: Effects of the superexchange interaction H Yi, J Yu, SI Lee
Physical Review B 61 (1), 428, 2000
20 2000 Double-exchange model with background superexchange interactions: Phase diagrams of La~ 1~-~ xA~ xMnO~ 3 manganites H Yi, J Yu
PHYSICAL REVIEW-SERIES B- 58, 11 123-11 126, 1998
20 1998 A deep learning LSTM framework for urban traffic flow and fine dust prediction H Yi, KHN Bui, CN Seon
J. KIISE 47 (3), 292-297, 2020
17 2020 Video-based traffic flow analysis for turning volume estimation at signalized intersections KHN Bui, H Yi, H Jung, J Cho
Asian Conference on Intelligent Information and Database Systems, 152-162, 2020
17 2020 VDS data-based deep learning approach for traffic forecasting using LSTM network H Yi, KHN Bui
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019
16 2019 Big data analytics-based urban traffic prediction using deep learning in ITS KHN Bui, H Yi, H Jung, J Seo
Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2019
12 2019 Monte Carlo study of the magnetic phase diagram of a double-exchange model with the background superexchange interaction H Yi, SI Lee
Physical Review B 60 (9), 6250, 1999
11 1999 Optimal hyperparameter tuning using meta-learning for big traffic datasets KHN Bui, H Yi
2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020
10 2020 