Seunghyup Shin

发表

The effects of the combustion chamber geometry and a double-row nozzle on the diesel engine emissions

Kyoungdoug Min, Hoimyung Choi, Seungmok Choi, 2015 .

Experimental analysis of emission reduction by the split injection strategy using close post injection with a double-row nozzle in heavy EGR conditions

Kyoungdoug Min, Hoimyung Choi, Seunghyup Shin, 2012 .

EGR Prediction of Diesel Engines in Steady-State Conditions Using Deep Learning Method

K. Min, Youngbok Lee, Seunghyup Shin, 2020 .

Prediction of Hybrid Electric Bus Speed Using Deep Learning Method

Minjae Kim, Jihwan Park, Sangyul Lee, 2020 .

Comparative Study on the Prediction of City Bus Speed Between LSTM and GRU

Seunghyup Shin, Sangyul Lee, Minjae Kim, 2022, International Journal of Automotive Technology.

EGR Prediction of Diesel Engines in Steady-State Conditions Using Deep Learning Method

K. Min, Youngbok Lee, Seunghyup Shin, 2020, International Journal of Automotive Technology.

Proposal of a methodology for designing engine operating variables using predicted NOx emissions based on deep neural networks

K. Min, Youngbok Lee, Seunghyup Shin, 2021 .

Deep neural network model with Bayesian hyperparameter optimization for prediction of NOx at transient conditions in a diesel engine

Jihwan Park, Minjae Kim, Sangyul Lee, 2020, Eng. Appl. Artif. Intell..

Designing a steady-state experimental dataset for predicting transient NOx emissions of diesel engines via deep learning

K. Min, Youngbok Lee, Seunghyup Shin, 2022, Expert Syst. Appl..

Investigation of Combustion Strategy for Commercialization of Low Temperature Diesel Combustion Engine

Euijoon Shim, Seunghyup Shin, D. H. Kim, 2014 .

Deep learning procedure for knock, performance and emission prediction at steady-state condition of a gasoline engine

Jihwan Park, Minjae Kim, Sangyul Lee, 2020, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

Development of a Light and Accurate No_x Prediction Model for Diesel Engines Using Machine Learning and Xai Methods

Seunghyup Shin, Sangyul Lee, Minjae Kim, 2023, International Journal of Automotive Technology.

Predicting transient diesel engine NOx emissions using time-series data preprocessing with deep-learning models

K. Min, Youngbok Lee, Seunghyup Shin, 2021 .

Prediction of engine NOx for virtual sensor using deep neural network and genetic algorithm

K. Min, Seunghyup Shin, Sangyul Lee, 2021, Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles.

Comparative research on DNN and LSTM algorithms for soot emission prediction under transient conditions in a diesel engine

Seunghyup Shin, J. Won, Minjeong Kim, 2023, Journal of Mechanical Science and Technology.

Task Transfer Learning for Prediction of Transient Nitrogen Oxides, Soot, and Total Hydrocarbon Emissions of a Diesel Engine

K. Min, Seunghyup Shin, Sangyul Lee, 2023, IEEE Access.

Emission Reduction using a Close Post Injection Strategy with a Modified Nozzle and Piston Bowl Geometry for a Heavy EGR Rate

Kyoungdoug Min, Hoimyung Choi, Seunghyup Shin, 2012 .

Experimental analysis of emission reduction by the split injection strategy using close post injection with a double-row nozzle in heavy EGR conditions

Jeongwoo Lee, Hoimyung Choi, Seunghyup Shin, 2012, Journal of Mechanical Science and Technology.

Optimal Energy Distribution of Multi-Energy Sources in Fuel-Cell Electric Bus Using Long Short-Term Memory

Seunghyup Shin, Sangyul Lee, Giyeon Hwang, 2023, International Journal of Automotive Technology.

Knock Onset Determination with 1D CNN Using Random Search Hyperparameter Optimization and Data Augmentation in SI Engine

Seunghyup Shin, Sangyul Lee, Jihwan Park, 2023, International Journal of Automotive Technology.