Jihoon Moon
Orcid: 0000-0003-2937-5212
According to our database1,
Jihoon Moon
authored at least 43 papers
between 2018 and 2024.
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Bibliography
2024
IEEE Wirel. Commun., October, 2024
IEEE J. Sel. Areas Commun., September, 2024
IEEE Trans. Wirel. Commun., March, 2024
Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul.
J. Supercomput., February, 2024
Object detection under the lens of privacy: A critical survey of methods, challenges, and future directions.
ICT Express, 2024
Prediction of Churning Game Users Based on Social Activity and Churn Graph Neural Networks.
IEEE Access, 2024
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Multi-User Identification and 3D Positioning Using Multi-View Images via Contrastive Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Channel Prediction in Vehicular-to-Everything (V2X) Networks Using Image Sensing and Computer Vision.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2024
Proceedings of the American Control Conference, 2024
2023
Transformer-Based Channel Parameter Acquisition for Terahertz Ultra-Massive MIMO Systems.
IEEE Trans. Veh. Technol., November, 2023
BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems.
Syst., September, 2023
Energy-Efficient User Association in mmWave/THz Ultra-Dense Network via Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Green Commun. Netw., June, 2023
Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification.
Entropy, April, 2023
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023
Towards an Effective Over-The-Top Platform Service: A Machine Learning Approach for Box Office Analysis.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023
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
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022
Proceedings of the 15th International Conference on Human System Interaction, 2022
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2022
2021
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting.
Sensors, 2021
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
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
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
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018