Sungil Kim

Latest

• Multichannel Convolution Neural Network for Gas Mixture Classification
• Quantifying Incident Impacts and Identifying Influential Factors on Urban Traffic Networks
• Maximum feasibility estimation
• Multi-channel Convolution Neural Network for Gas Mixture Classification
• Simulation-based Anomaly Detection in Nuclear Reactors
• Transfer-Learning based approach for mixture gas classification
• Maritime anomaly detection based on VAE-CUSUM monitoring system
• Multiresolution spatial generalized linear mixed model for integrating multi-fidelity spatial count data without common identifiers between data source
• A practical approach to measuring the impacts of stockouts on demand
• Revealing household characteristics using connected home products
• Spatial cluster detection in mobility networks: a copula approach
• An integrated holistic model of a complex process
• Batch sequential minimum energy design with design-region adaptation
• Early detection of vessel delays using combined historical and real-time information
• Incorporation of engineering knowledge into the modeling process: a local approach
• A new metric of absolute percentage error for intermittent demand forecasts
• Ordinal classification of imbalanced data with application in emergency and disaster information services
• Adaptive combined space-filling and D-optimal designs
• Layers of experiments with adaptive combined design
• Optimization of a carbon dioxide-assisted nanoparticle deposition process using sequential experimental design with adaptive design space
• Optimization of carbon dioxide-assisted nanoparticle deposition process with uncertain design space
• Experimental design methods for nano-fabrication processes
• A time prediction model of cursor movement with path constraints