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Jihoon Moon
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j19]You-Jung Han, Jihoon Moon, Jiyoung Woo:
Prediction of Churning Game Users Based on Social Activity and Churn Graph Neural Networks. IEEE Access 12: 101971-101984 (2024) - [j18]Subeen Leem, Jisong Oh, Jihoon Moon, Mucheol Kim, Seungmin Rho:
Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul. J. Supercomput. 80(3): 4049-4082 (2024) - [j17]Seungnyun Kim, Jungjae Park, Jihoon Moon, Byonghyo Shim:
Fast and Accurate Terahertz Beam Management via Frequency-Dependent Beamforming. IEEE Trans. Wirel. Commun. 23(3): 1699-1712 (2024) - [i2]Seungnyun Kim, Jihoon Moon, Jinhong Kim, Yongjun Ahn, Donghoon Kim, Sunwoo Kim, Kyuhong Shim, Byonghyo Shim:
Role of Sensing and Computer Vision in 6G Wireless Communications. CoRR abs/2405.03945 (2024) - 2023
- [j16]Subeen Leem, Jisong Oh, Dayeong So, Jihoon Moon:
Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification. Entropy 25(4): 571 (2023) - [j15]Dayeong So, Jinyeong Oh, Insu Jeon, Jihoon Moon, Mi Young Lee, Seungmin Rho:
BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems. Syst. 11(9): 456 (2023) - [j14]Jihoon Moon, Seungnyun Kim, Hyungyu Ju, Byonghyo Shim:
Energy-Efficient User Association in mmWave/THz Ultra-Dense Network via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Green Commun. Netw. 7(2): 692-706 (2023) - [j13]Seungnyun Kim, Anho Lee, Hyungyu Ju, Khoa Anh Ngo, Jihoon Moon, Byonghyo Shim:
Transformer-Based Channel Parameter Acquisition for Terahertz Ultra-Massive MIMO Systems. IEEE Trans. Veh. Technol. 72(11): 15127-15132 (2023) - [c14]Jihoon Moon, Hyuk-Yoon Kwon:
Auto-Labeling of Anomalies on Access Logs and Pairwise Comparison-based Validation. BigComp 2023: 351-352 - [c13]Byeongcheon Lee, Jinyeong Oh, Woojin Shon, Jihoon Moon:
A Literature Review on AWS-Based Cloud Computing: A Case in South Korea. BigComp 2023: 403-406 - [c12]Subeen Leem, Jisong Oh, Jihoon Moon:
Towards an Effective Over-The-Top Platform Service: A Machine Learning Approach for Box Office Analysis. BigComp 2023: 413-416 - [c11]Seungnyun Kim, Jiao Wu, Jihoon Moon, Byonghyo Shim:
Frequency-Dependent Precoding for Wideband Terahertz Communication Systems. GLOBECOM 2023: 5787-5792 - [c10]Seungnyun Kim, Jiao Wu, Jihoon Moon, Byonghyo Shim:
Sparse Channel Feedback for Energy-Efficient mmWave Massive MIMO Systems. ICTC 2023: 1118-1121 - 2022
- [j12]Yasmeen Ansari, Sadaf Yasmin, Sheneela Naz, Hira Zaffar, Zeeshan Ali, Jihoon Moon, Seungmin Rho:
A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading. IEEE Access 10: 127469-127501 (2022) - [j11]Ayesha Jabeen, Muhammad Yasir, Yasmeen Ansari, Sadaf Yasmin, Jihoon Moon, Seungmin Rho:
An Empirical Study of Macroeconomic Factors and Stock Returns in the Context of Economic Uncertainty News Sentiment Using Machine Learning. Complex. 2022: 4646733:1-4646733:18 (2022) - [j10]Haider Maqsood, Muazzam Maqsood, Sadaf Yasmin, Irfan Mehmood, Jihoon Moon, Seungmin Rho:
Analyzing the Stock Exchange Markets of EU Nations: A Case Study of Brexit Social Media Sentiment. Syst. 10(2): 24 (2022) - [j9]Jihoon Moon, Debasmit Das, C. S. George Lee:
A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 4622-4636 (2022) - [j8]Farhan Ullah, Jihoon Moon, Hamad Naeem, Sohail Jabbar:
Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model. J. Supercomput. 78(17): 19246-19271 (2022) - [c9]Jihoon Moon, Byonghyo Shim:
LSTM-based Beam Tracking Using Computer Vision. APWCS 2022: 66-69 - [c8]Jihoon Moon, Sungwoo Park, Eenjun Hwang, Seungmin Rho:
A Hybrid Tree-Based Ensemble Learning Model for Day-Ahead Peak Load Forecasting. HSI 2022: 1-6 - [c7]Jungjae Park, Seungnyun Kim, Jihoon Moon, Byonghyo Shim:
Fast Terahertz Beam Training Via Frequency-dependent Precoding. ICC Workshops 2022: 1153-1158 - [i1]Jihoon Moon, Debasmit Das, C. S. George Lee:
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. CoRR abs/2207.00003 (2022) - 2021
- [j7]Seungmin Jung, Jihoon Moon, Sungwoo Park, Eenjun Hwang:
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting. Sensors 21(5): 1639 (2021) - [j6]M. Junaid Gul, Gul Malik Urfa, Anand Paul, Jihoon Moon, Seungmin Rho, Eenjun Hwang:
Mid-term electricity load prediction using CNN and Bi-LSTM. J. Supercomput. 77(10): 10942-10958 (2021) - [c6]Jihoon Moon, Hyungyu Ju, Seungnyun Kim, Byonghyo Shim:
Energy-Efficient mmWave UDN Using Distributed Multi-Agent Deep Reinforcement Learning. ICC Workshops 2021: 1-6 - [c5]Jihoon Moon, Byonghyo Shim:
User Association with Multi-Agent Reinforcement Learning for Energy-Efficient UDN. ICTC 2021: 1772-1776 - 2020
- [j5]Jehyeok Rew, Yongjang Cho, Jihoon Moon, Eenjun Hwang:
Habitat Suitability Estimation Using a Two-Stage Ensemble Approach. Remote. Sens. 12(9): 1475 (2020) - [j4]Jinwoong Park, Jihoon Moon, Seungmin Jung, Eenjun Hwang:
Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island. Remote. Sens. 12(14): 2271 (2020) - [j3]Seungwon Jung, Jihoon Moon, Sungwoo Park, Seungmin Rho, Sung Wook Baik, Eenjun Hwang:
Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation. Sensors 20(6): 1772 (2020) - [c4]Minjae Son, Seungwon Jung, Jihoon Moon, Eenjun Hwang:
BCGAN-Based Over-Sampling Scheme for Imbalanced Data. BigComp 2020: 155-160 - [c3]Sungwoo Park, Jihoon Moon, Eenjun Hwang:
Explainable Anomaly Detection for District Heating Based on Shapley Additive Explanations. ICDM (Workshops) 2020: 762-765
2010 – 2019
- 2019
- [j2]Jihoon Moon, Sungwoo Park, Seungmin Rho, Eenjun Hwang:
A comparative analysis of artificial neural network architectures for building energy consumption forecasting. Int. J. Distributed Sens. Networks 15(9) (2019) - 2018
- [j1]Jihoon Moon, Jinwoong Park, Eenjun Hwang, Sanghoon Jun:
Forecasting power consumption for higher educational institutions based on machine learning. J. Supercomput. 74(8): 3778-3800 (2018) - [c2]Jihoon Moon, Kyu-Hyung Kim, Yongsung Kim, Eenjun Hwang:
A Short-Term Electric Load Forecasting Scheme Using 2-Stage Predictive Analytics. BigComp 2018: 219-226 - [c1]Yongsung Kim, Seonmi Ji, Seungwon Jung, Jihoon Moon, Eenjun Hwang:
Semantic Enrichment of Twitter News for Differentiated STEAM Education. BigComp 2018: 487-490
Coauthor Index
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last updated on 2024-08-06 22:02 CEST by the dblp team
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