38 results on '"Kim, Hyeonmin"'
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2. Abstract 16476: Association Between Atrial Fibrillation and Deep Learning Derived Retinal Features Trained on Electrocardiogram versus Coronary Artery Calcium
3. An Ensemble of Text Convolutional Neural Networks and Multi-Head Attention Layers for Classifying Threats in Network Packets
4. Development of a data-driven simulation framework using physics-informed neural network
5. Effect of nitryl chloride chemistry on air quality in South Korea during the KORUS-AQ campaign
6. Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors
7. P‐159: Display Gamma Tuning Points Reduction using Deep Learning Algorithm
8. Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores
9. Investigating biases and uncertainties of air quality model used in GMAP 2021 field campaign
10. Analysis of BIM-Based Quantity Take-Off in Simplification of the Length of Processed Rebar
11. Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank
12. Channel-wise Time-series Data Augmentation for Risk Detection of Industrial Process
13. Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal–hydraulic code
14. An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system
15. Triiodide-in-Iodine Networks Stabilized by Quaternary Ammonium Cations as Accelerants for Electrode Kinetics of Iodide Oxidation in Aqueous Media
16. Evaluation of Secondary Organic Aerosol (SOA) Simulations for Seoul, Korea
17. Observed versus simulated OH reactivity during KORUS-AQ campaign: Implications for emission inventory and chemical environment in East Asia
18. Boundary layer versus free tropospheric submicron particle formation: A case study from NASA DC-8 observations in the Asian continental outflow during the KORUS-AQ campaign
19. Recent research towards integrated deterministic-probabilistic safety assessment in Korea
20. Preprocessing Energy Intervals on Spectrum for Real-Time Radionuclide Identification
21. Reproduction strategy of radiation data with compensation of data loss using a deep learning technique
22. Computer-aided detection and abnormality score for the outer retinal layer in optical coherence tomography
23. Development of the Deep Learning Based Fast Simulation for Reducing the Uncertainty in Probabilistic Safety Assessment
24. Efficient Deep Learning Scheme to Evaluate the Reliability of a Passive Safety System
25. A methodology for diagnosing FAC induced pipe thinning using accelerometers and deep learning models
26. Influence of the spatial Pu variation for evaluating the Pu content in spent nuclear fuel using Support Vector Regression
27. Application of a Deep Learning Technique to the Development of a Fast Accident Scenario Identifier
28. Development of AI Framework Based on RNN for Startup and Shutdown Operation of Nuclear Power Plant
29. Development of AI Framework Based on RNN for Startup and Shutdown Operation of Nuclear Power Plant
30. Development of a Physics-Based Monitoring Algorithm Detecting CO2 Ingress Accidents in a Sodium-Cooled Fast Reactor
31. Application of particle filtering for prognostics with measurement uncertainty in nuclear power plants
32. Failure rate updates using condition-based prognostics in probabilistic safety assessments
33. A Case Study on Korean Capacity-building Programs for Climate-change Experts
34. Smart support system for diagnosing severe accidents in nuclear power plants
35. Prognostics for integrity of steam generator tubes using the general path model
36. Diagnosis of feedwater heater performance degradation using fuzzy inference system
37. Reliability data update using condition monitoring and prognostics in probabilistic safety assessment
38. APPLICATION OF MONITORING, DIAGNOSIS, AND PROGNOSIS IN THERMAL PERFORMANCE ANALYSIS FOR NUCLEAR POWER PLANTS
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