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Jaeun Choi

ORCID: 0000-0003-0097-2590
Observed ORCID: 0000-0003-0097-2590
OpenAlex ID: A5084588794
A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things
2023 · Mudita Uppal, Deepali Gupta, et al. · Complexity · 44
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Cost-Based Heterogeneous Learning Framework for Real-Time Spam Detection in Social Networks With Expert Decisions
2021 · Jaeun Choi, Chunmi Jeon · IEEE Access · 28
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An IoMT-Based Melanoma Lesion Segmentation Using Conditional Generative Adversarial Networks
2023 · Zeeshan Ali, Sheneela Naz, et al. · Sensors · 26
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Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection
2024 · Jaeun Choi, Byunghwan Jeon, et al. · Sensors · 10
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Time-Aware Learning Framework for Over-The-Top Consumer Classification Based on Machine- and Deep-Learning Capabilities
2020 · Jaeun Choi, Yongsung Kim · Applied Sciences · 6
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An Efficient Filtering Method for Detecting Malicous Web Pages
2012 · Jaeun Choi, Gisung Kim, et al. · Lecture notes in computer science · 6
A Heterogeneous Learning Framework for Over-the-Top Consumer Analysis Reflecting the Actual Market Environment
2021 · Jaeun Choi, Yongsung Kim · Applied Sciences · 5
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Predicting Wildfire Damage Severity with Composite Indexing and Fire Weather Features: A Case Study in Gangwon Province, South Korea
2026 · Jaeun Choi, Wonseok Yang, et al. · Fire
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A Study on the OTT Consumer Classification Based on Artificial Intelligence
2020 · Jaeun Choi · Journal of Business Research
A Connection Filtering Method for Lightweight Intrusion Detection System
2011 · Gisung Kim, Jaeun Choi, et al. · International Conference Machine Learning and Computing
(An) efficient intrusion detection system (IDS) node selection for congested systems in wireless mesh networks = 무선 메쉬 네트워크에서 혼잡상황을 고려한 효율적인 침입탐지 시스템 배치
2009 · Jaeun Choi, 최재운
Monitoring Node Selection Algorithm for Intrusion Detection in Congested Sensor Network
2009 · Jaeun Choi, Myungjong Lee, et al. · International Conference on Security and Cryptography
Works count: 12
Citation count: 125
H-index: 6
I10-index: 4
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