Jihoon Moon

According to our database1, Jihoon Moon authored at least 22 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model.
J. Supercomput., 2022

A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation.
IEEE Trans. Image Process., 2022

Analyzing the Stock Exchange Markets of EU Nations: A Case Study of Brexit Social Media Sentiment.
Syst., 2022

A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation.
CoRR, 2022

An Empirical Study of Macroeconomic Factors and Stock Returns in the Context of Economic Uncertainty News Sentiment Using Machine Learning.
Complex., 2022

A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading.
IEEE Access, 2022

Fast Terahertz Beam Training Via Frequency-dependent Precoding.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

A Hybrid Tree-Based Ensemble Learning Model for Day-Ahead Peak Load Forecasting.
Proceedings of the 15th International Conference on Human System Interaction, 2022

LSTM-based Beam Tracking Using Computer Vision.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2022

2021
Mid-term electricity load prediction using CNN and Bi-LSTM.
J. Supercomput., 2021

An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting.
Sensors, 2021

User Association with Multi-Agent Reinforcement Learning for Energy-Efficient UDN.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Energy-Efficient mmWave UDN Using Distributed Multi-Agent Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation.
Sensors, 2020

Habitat Suitability Estimation Using a Two-Stage Ensemble Approach.
Remote. Sens., 2020

Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island.
Remote. Sens., 2020

Explainable Anomaly Detection for District Heating Based on Shapley Additive Explanations.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

BCGAN-Based Over-Sampling Scheme for Imbalanced Data.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019
A comparative analysis of artificial neural network architectures for building energy consumption forecasting.
Int. J. Distributed Sens. Networks, 2019

2018
Forecasting power consumption for higher educational institutions based on machine learning.
J. Supercomput., 2018

A Short-Term Electric Load Forecasting Scheme Using 2-Stage Predictive Analytics.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Semantic Enrichment of Twitter News for Differentiated STEAM Education.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018


  Loading...