Minjae Kim

发表

Component matching of a series hybrid electric bus using nonlinear programming

Minjae Kim, 2017 .

A numerical study on the soot and combustion performance of a diesel engine with pip shape

Sangyul Lee, Minjae Kim, Ha-Jip Kim, 2018, Journal of Mechanical Science and Technology.

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..

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.

Prediction Modeling and Analysis of Knocking Combustion using an Improved 0D RGF Model and Supervised Deep Learning

Jihwan Park, Minjae Kim, Seokwon Cho, 2019, Energies.

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.

Research on Novel Concept of Hybrid Electric Vehicle Using Removable Engine-Generator

Minjae Kim, Sangyul Lee, Huy Huu Nguyen, 2019, 2019 IEEE Vehicle Power and Propulsion Conference (VPPC).

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.

Study on the Development of Control Strategy for Series Hybrid Electric Bus based on HILS

Daebong Jung, Yong-Rae Cho, Kyoungdoug Min, 2012 .

Hybrid Thermostat Strategy for Enhancing Fuel Economy of Series Hybrid Intracity Bus

Minjae Kim, Daebong Jung, Kyoungdoug Min, 2014, IEEE Transactions on Vehicular Technology.

Study on the improvement in continuously variable transmission efficiency with a thermal management system

Minjae Kim, Daebong Jung, Kyoungdoug Min, 2013 .