( en | de | ru )

 

Disambiguation of "Moon, Jihoon"

Author of the publication

copydeleteadd this publication to your clipboard
A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading.

, , , , , , and . IEEE Access, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jihoon Cho

In-Hyung Moon

Philipp Moon

Baesu Moon

Oveeyen Moonian

 

Other publications of authors with the same name

Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul., , , , and . J. Supercomput., 80 (3): 4049-4082 (February 2024)Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation., , , , , and . Sensors, 20 (6): 1772 (2020)An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting., , , and . Sensors, 21 (5): 1639 (2021)BCGAN-Based Over-Sampling Scheme for Imbalanced Data., , , and . BigComp, page 155-160. IEEE, (2020)Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model., , , and . J. Supercomput., 78 (17): 19246-19271 (2022)Analyzing the Stock Exchange Markets of EU Nations: A Case Study of Brexit Social Media Sentiment., , , , , and . Syst., 10 (2): 24 (2022)Energy-Efficient User Association in mmWave/THz Ultra-Dense Network via Multi-Agent Deep Reinforcement Learning., , , and . IEEE Trans. Green Commun. Netw., 7 (2): 692-706 (June 2023)Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island., , , and . Remote. Sens., 12 (14): 2271 (2020)Sparse Channel Feedback for Energy-Efficient mmWave Massive MIMO Systems., , , and . ICTC, page 1118-1121. IEEE, (2023)User Association with Multi-Agent Reinforcement Learning for Energy-Efficient UDN., and . ICTC, page 1772-1776. IEEE, (2021)