A new evolutionary particle filter for the prevention of sample impoverishment S Park, JP Hwang, E Kim, HJ Kang IEEE Transactions on Evolutionary Computation 13 (4), 801-809, 2009 | 172 | 2009 |
A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function JP Hwang, S Park, E Kim Expert Systems with Applications 38 (7), 8580-8585, 2011 | 99 | 2011 |
A new particle filter inspired by biological evolution: Genetic filter S Park, J Hwang, K Rou, E Kim World Academy of Science, Engineering and Technology 33, 83-87, 2007 | 62 | 2007 |
Pedestrian/vehicle detection using a 2.5-D multi-layer laser scanner B Kim, B Choi, S Park, H Kim, E Kim IEEE Sensors Journal 16 (2), 400-408, 2015 | 44 | 2015 |
A neural network approach to target classification for active safety system using microwave radar S Park, JP Hwang, E Kim, H Lee, HG Jung Expert Systems with Applications 37 (3), 2340-2346, 2010 | 42 | 2010 |
Vehicle tracking using a microwave radar for situation awareness S Park, JP Hwang, E Kim, HJ Kang Control Engineering Practice 18 (4), 383-395, 2010 | 33 | 2010 |
A deep learning-based perception algorithm using 3d lidar for autonomous driving: simultaneous segmentation and detection network (ssadnet) Y Lee, S Park Applied Sciences 10 (13), 4486, 2020 | 17 | 2020 |
Prediction of insufficient hepatic enhancement during the Hepatobiliary phase of Gd-EOB DTPA-enhanced MRI using machine learning classifier and feature selection algorithms JS Ko, J Byun, S Park, JY Woo Abdominal Radiology, 1-13, 2022 | 14 | 2022 |
A newborn track detection and state estimation algorithm using Bernoulli random finite sets B Choi, S Park, E Kim IEEE Transactions on Signal Processing 64 (10), 2660-2674, 2016 | 14 | 2016 |
An IGDT approach for the multi-objective framework of integrated energy hub with renewable energy sources, hybrid energy storage systems, and biomass-to-hydrogen technology P Van Phu, THB Huy, S Park, D Kim Journal of Energy Storage 89, 111488, 2024 | 12 | 2024 |
A convolutional neural network-based end-to-end self-driving using LiDAR and camera fusion: Analysis perspectives in a real-world environment M Park, H Kim, S Park Electronics 10 (21), 2608, 2021 | 12 | 2021 |
A study on vehicle detection and distance classification using mono camera based on deep learning M Park, H Kim, H Choi, S Park Journal of Korean institute of intelligent systems 29 (2), 90-96, 2019 | 12 | 2019 |
Real-time power scheduling for an isolated microgrid with renewable energy and energy storage system via a supervised-learning-based strategy THB Huy, TD Le, P Van Phu, S Park, D Kim Journal of Energy Storage 88, 111506, 2024 | 10 | 2024 |
A new state estimation method for chaotic signals: Map-particle filter method S Park, JP Hwang, E Kim Expert Systems with Applications 38 (9), 11442-11446, 2011 | 9 | 2011 |
Diagnostic Algorithm Based on Machine Learning to Predict Complicated Appendicitis in Children Using CT, Laboratory, and Clinical Features J Byun, S Park, SM Hwang Diagnostics 13 (5), 923, 2023 | 8 | 2023 |
A study of predictive models for early outcomes of post-prostatectomy incontinence: machine learning approach vs. logistic regression analysis approach S Park, J Byun Applied Sciences 11 (13), 6225, 2021 | 8 | 2021 |
A study of the autonomous vehicle technology and its future trend: Focusing on current industry and technology convergence of trend S Park Journal of the Korea Convergence Society 9 (1), 253-259, 2018 | 8 | 2018 |
Dual margin approach on a Lagrangian support vector machine JP Hwang, S Park, E Kim International Journal of Computer Mathematics 88 (4), 695-708, 2011 | 7 | 2011 |
Collision risk assessment for pedestrians' safety using neural network BS Kim, SK Park, BH Choi, ET Kim, HJ Lee, HJ Kang Journal of Institute of Control, robotics and Systems 17 (1), 6-11, 2011 | 7 | 2011 |
Intelligent collision risk assessment based on neural network ensemble B Kim, B Choi, S Park, E Kim Proceedings of SICE Annual Conference 2010, 2893-2895, 2010 | 7 | 2010 |