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Biography and Research Information
OverviewAI-generated summary
Jonghoon Lee's research interests span artificial intelligence, machine learning, and their applications across diverse fields. His work includes developing advanced algorithms for anomaly detection in multivariate time series, as demonstrated by the MST-VAE model. He has also investigated unsupervised domain adaptation techniques to improve crop-weed recognition in agricultural settings and explored intelligence-guided visual servoing for precise agricultural tasks, such as watermelon pollination. Lee's research extends to the assessment of structural integrity using unmanned aerial vehicles (UAVs) within a SMART SKY EYE system and enhancing network security in 5G industrial IoT environments through AI. His publications also address the comparison of biological age prediction models using AI versus traditional statistical methods. With a career marked by 90 publications and 150 citations, Lee has established expertise in areas requiring sophisticated computational analysis and technological integration.
Metrics
- h-index: 15
- Publications: 90
- Citations: 883
Selected Publications
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Antitrust and corporate taxation (2025)
Collaboration Network
Top Collaborators
- Antitrust and corporate taxation
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