Jin H. Kim
St. Vincent's Hospital
Suwon, Republic of Korea
Suwon, Republic of Korea
Last Updated: 09/26/2026
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Found 32 publications
Major clinical advances in gynecologic cancer in 2025: from de-escalation strategies to precision therapies beyond BRCA.
Journal: Journal of gynecologic oncology
Published: January 09, 2026
Colored dissolved organic matter estimation using Sentinel-2 imagery in small-scale reservoir: Classification and regression-based data resampling approaches.
Journal: Environmental research
Published: September 18, 2025
Temporal fusion transformer-based forecasting of COVID-19 infection trends using environmental indicators.
Journal: Journal of hazardous materials
Published: September 03, 2025
Physics-guided deep learning surrogate model with graph attention for long-term radionuclide transport prediction in deep geological repositories.
Journal: Journal of hazardous materials
Published: September 01, 2025
Hybrid deep learning-numerical modeling framework for long-term prediction of groundwater discharge and radionuclide transport.
Journal: Journal of hazardous materials
Published: August 19, 2025
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershed.
Journal: Journal of contaminant hydrology
Published: August 01, 2025
Construction of a Real-Time Detection for Floating Plastics in a Stream Using Video Cameras and Deep Learning.
Journal: Sensors (Basel, Switzerland)
Published: January 31, 2025
Gynecologic oncology in 2024: breakthrough trials and evolving treatment strategies for cervical, uterine corpus, and ovarian cancers.
Journal: Journal of gynecologic oncology
Published: January 10, 2025
Deep-learning and data-resampling: A novel approach to predict cyanobacterial alert levels in a reservoir.
Journal: Environmental research
Published: June 18, 2024
Distributions of Fecal Indicators at Aquaculture Areas in a Bay of Republic of Korea.
Journal: Journal of microbiology and biotechnology
Published: June 02, 2024
A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning models.
Journal: Water environment research : a research publication of the Water Environment Federation
Published: March 06, 2024
Applying machine learning random forest (RF) method in predicting the cement products with a co-processing of input materials: Optimizing the hyperparameters.
Journal: Environmental research
Published: November 10, 2023
Last Updated: 09/26/2026