Jihoon Moon

Orcid: 0000-0003-2937-5212

According to our database1, Jihoon Moon authored at least 43 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Role of Sensing and Computer Vision in 6G Wireless Communications.
IEEE Wirel. Commun., October, 2024

Vision-Aided Positioning and Beam Focusing for 6G Terahertz Communications.
IEEE J. Sel. Areas Commun., September, 2024

Fast and Accurate Terahertz Beam Management via Frequency-Dependent Beamforming.
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

Computer Vision-Based Cell Association for mmWave/THz Ultra-Dense Networks.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Sensing-aided Multi-modal Channel Prediction in 6G mmWave Massive MIMO Systems.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Subarray-Based Near-Field Beam Training for 6G Terahertz Communications.
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

Post-Damage Short Circuit Detection in Lithium-ion Batteries.
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

Sparse Channel Feedback for Energy-Efficient mmWave Massive MIMO Systems.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Frequency-Dependent Precoding for Wideband Terahertz Communication Systems.
Proceedings of the IEEE Global Communications Conference, 2023

Auto-Labeling of Anomalies on Access Logs and Pairwise Comparison-based Validation.
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

A Literature Review on AWS-Based Cloud Computing: A Case in South Korea.
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

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


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