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2020 – today
- 2023
[c11]Jongyeop Kim, Jinki Kim, Matthew Sands, Seongsoo Kim:
Deep Learning Model to Improve the Stability of Damage Identification via Output-only Signal. SERA 2023: 201-209- [c10]Seongsoo Kim, Lei Chen, Jongyeop Kim, Yiming Ji, Rami J. Haddad
:
A Comparative Study of Deep Learning Models for Hyper Parameter Classification on UNSW-NB15. SERA 2023: 218-228 - 2022
- [c9]Seongsoo Kim, Yiming Ji, Jongyeop Kim, Eric W. Montie:
Dolphin Whistle Visualization Framework: MySQL Query Approach. SERA 2022: 22-29 - [c8]Seongsoo Kim, Hayden Wimmer, Jongyeop Kim:
Analysis of Deep Learning Libraries: Keras, PyTorch, and MXnet. SERA 2022: 54-62 - [c7]Matthew Sands, Jongyeop Kim, Jinki Kim, Seongsoo Kim:
A Deep Learning Model for Predicting Damaged Points via Random Vibration Signal Analysis. SNPD 2022: 75-82 - [c6]Matthew Sands, Jongyeop Kim, Jinki Kim, Seongsoo Kim:
Ensemble Deep Learning Model for Damage Identification via Output-Only Signal Analysis. SNPD 2022: 83-90 - 2021
- [c5]Jongyeop Kim, Seongsoo Kim, Hayden Wimmer, Hong Liu:
A Cryptocurrency Prediction Model Using LSTM and GRU Algorithms. BCD 2021: 37-44 - [c4]Jongyeop Kim, Hayden Wimmer, Hong Liu, Seongsoo Kim:
A Streaming Data Collection and Analysis for Cryptocurrency Price Prediction using LSTM. BCD 2021: 45-52 - [c3]Seongsoo Kim, Lei Chen, Jongyeop Kim:
Intrusion Prediction using Long Short-Term Memory Deep Learning with UNSW-NB15. BCD 2021: 53-59 - [c2]Seongsoo Kim, Lei Chen, Jongyeop Kim:
Intrusion Prediction using LSTM and GRU with UNSW-NB15. ComComAP 2021: 101-106 - 2020
- [j1]Seongsoo Kim, Sang-Myung Lee, Je Pil Yoon, Namhun Lee, Jinhyo Chung, Woo-Jae Chung, Dong-Sik Shin:
Robust Magnetized Graphene Oxide Platform for In Situ Peptide Synthesis and FRET-Based Protease Detection. Sensors 20(18): 5275 (2020)
2010 – 2019
- 2019
- [c1]Jongyeop Kim, Seongsoo Kim, Donghoon Kim, Hong Liu:
Automated Configuration Parameter Classfication Model for Hive Query Plan on the Apache Yarn. BCD 2019: 77-83
Coauthor Index
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