Minjae Kim

Deep neural network model with Bayesian hyperparameter optimization for prediction of NO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1688" altimg="si120.svg"><mml:msub><mml:mrow/><mml:mrow><mml:mi mathvariant="normal">x</mml:mi></mml:mrow></mml:msub></mml:math> at transient conditions in a diesel engine

Seunghyup Shin, Youngbok Lee, Minjae Kim et al. · Engineering Applications of Artificial Intelligence · 2020 · 145 citations

Model Optimization, Math Xmlns, Hyperparameter Estimation +7

A reduced component count single-stage electrolytic capacitor-less battery charger with sinusoidal charging

Byeong-Woo Kim, Minjae Kim, Sewan Choi · 2017 · 27 citations

Electrical Engineering, Engineering, Ev Battery Chargers +8

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

Seunghyup Shin, Sangyul Lee, Minjae Kim et al. · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2020 · 24 citations

Artificial Intelligence, Deep Neural Networks, Engineering +14

Zero‐current switching series loaded resonant converter insensitive to resonant component tolerance for battery charger

Junsung Park, Minjae Kim, Sewan Choi · IET Power Electronics · 2014 · 23 citations · Full text

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

Seunghyup Shin, Youngbok Lee, Jihwan Park et al. · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2021 · 20 citations

Artificial Intelligence, Convolutional Neural Network, Engineering +20