Dynamic data rebalancing in Hadoop. - Ashwin Kumar T. K; Jongyeop Kim; K. M. George; Nohpill Park (ICIS, 2014)

Identification of the Optimal Hadoop Configuration Parameters Set for Mapreduce Computing. - Jongyeop Kim; Nohpill Park (ACIT-CSI, 2015)

Performance evaluation and tuning for MapReduce computing in Hadoop distributed file system. - Jongyeop Kim; Ashwin Kumar T. K; K. M. George; Nohpill Park (INDIN, 2015)

Cancellation-Based Friendly Jamming for Physical Layer Security. - Jongyeop Kim; Jihwan P. Choi (GLOBECOM, 2016)

Big Streaming Data Buffering Optimization. - Abhilash Kancharla; Jongyeop Kim; Noh-Jin Park; Nohpill Park (ACIT/CSII/BCD, 2017)

A Study of Heuristically-Based Parametric Performance Improvement/Optimization Algorithms for BigData Computing. - Jongyeop Kim; Noh-Jin Park; Nohpill Park (ACIT/CSII/BCD, 2017)

Optimized Common Parameter Set Extraction by Benchmarking Applications on a Big Data Platform. - Jongyeop Kim; Abhilash Kancharla; Jongho Seol; Noh-Jin Park; Nohpill Park (SNPD, 2018)

Physical-Layer Security Against Smart Eavesdroppers: Exploiting Full-Duplex Receivers. - Jongyeop Kim; Jinwoong Kim; Jemin Lee; Jihwan P. Choi (IEEE Access, 2018)

Optimized Common Parameter Set Extraction Framework by Multiple Benchmarking Applications on a Big Data Platform. - Jongyeop Kim; Abhilash Kancharla; Jongho Seol; Indy Park; Nohpill Park (Int. J. Networked Distributed Comput., 2018)

Coexistence of Full-Duplex-Based IEEE 802.15.4 and IEEE 802.11. - Jongyeop Kim; Wonhong Jeon; Kyung-Joon Park; Jihwan P. Choi (IEEE Trans. Ind. Informatics, 2018)

Automated Configuration Parameter Classfication Model for Hive Query Plan on the Apache Yarn. - Jongyeop Kim; Seongsoo Kim; Donghoon Kim; Hong Liu 022 (BCD, 2019)

Intrusion Prediction using Long Short-Term Memory Deep Learning with UNSW-NB15. - Seongsoo Kim; Lei Chen 029; Jongyeop Kim (BCD, 2021)

A Cryptocurrency Prediction Model Using LSTM and GRU Algorithms. - Jongyeop Kim; Seongsoo Kim; Hayden Wimmer; Hong Liu 022 (BCD, 2021)

A Streaming Data Collection and Analysis for Cryptocurrency Price Prediction using LSTM. - Jongyeop Kim; Hayden Wimmer; Hong Liu 022; Seongsoo Kim (BCD, 2021)

Intrusion Prediction using LSTM and GRU with UNSW-NB15. - Seongsoo Kim; Lei Chen 029; Jongyeop Kim (ComComAP, 2021)

Big Cyber Security Data Analysis with Apache Mahou. - Omotola Adekanbmi; Hayden Wimmer; Jongyeop Kim (SERA, 2022)

Dolphin Whistle Visualization Framework: MySQL Query Approach. - Seongsoo Kim; Yiming Ji; Jongyeop Kim; Eric W. Montie (SERA, 2022)

Analysis of Deep Learning Libraries: Keras, PyTorch, and MXnet. - Seongsoo Kim; Hayden Wimmer; Jongyeop Kim (SERA, 2022)

Output-only Structural Damage Detection via Enhanced Random Vibration Analysis using LSTM/GRU model. - Matthew Sands; Jongyeop Kim; Jinki Kim (SERA, 2022)

A Deep Learning Model for Predicting Damaged Points via Random Vibration Signal Analysis. - Matthew Sands; Jongyeop Kim; Jinki Kim; Seongsoo Kim (SNPD, 2022)

Ensemble Deep Learning Model for Damage Identification via Output-Only Signal Analysis. - Matthew Sands; Jongyeop Kim; Jinki Kim; Seongsoo Kim (SNPD, 2022)

Hyper Parameter Classification on Deep Learning Model for Cryptocurrency Price Prediction. - Jongyeop Kim; Jongho Seol; Tasnim Akter Onisha; Yiming Ji (BCD, 2023)

Improving Network Intrusion Detection Using Supervised Learning for Feature Selection. - Hamed Sanusi; Zheni Utic; Jongyeop Kim (BCD, 2023)

DRL Model for Distributed Agent-based IoT on Multi-Access Edge Computing for Accident Forecast. - Jongho Seol; Jongyeop Kim; Abhilash Kancharla (BCD, 2023)

A Comparative Study of Deep Learning Models for Hyper Parameter Classification on UNSW-NB15. - Seongsoo Kim; Lei Chen 029; Jongyeop Kim; Yiming Ji; Rami J. Haddad (SERA, 2023)

Deep Learning Model to Improve the Stability of Damage Identification via Output-only Signal. - Jongyeop Kim; Jinki Kim; Matthew Sands; Seongsoo Kim (SERA, 2023)

Anomaly Detection in Intrusion Detection System using Amazon SageMaker. - Ian Trawinski; Hayden Wimmer; Jongyeop Kim (SERA, 2023)

Evaluating the Performance of Containerized Webservers against web servers on Virtual Machines using Bombardment and Siege. - Daniel Ukene; Hayden Wimmer; Jongyeop Kim (SERA, 2023)

Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing. - Md. Arifur Rahman; Hossein Taheri; Jongyeop Kim (SNPD-Winter, 2023)

Cloud-Based Human Emotion Classification Model from EEG Signals. - Suhaima Jamal; Meenalosini Vimal Cruz; Jongyeop Kim (UEMCON, 2023)

Multi Label Sound Classification using Deep Learning Models. - Tasnim Akter Onisha; Jongyeop Kim; Jongho Seol (SERA, 2024)

Enhancing Reliability in Hybrid Cross-Chain Models: Adaptive Thresholds for Performance and Adaptability. - Jongho Seol; Abhilash Kancharla; Jongyeop Kim (SERA, 2024)

Optimizing Cross-Chain DeFi and Smart Contracts in Stochastic Integration. - Jongho Seol; Jongyeop Kim; Abhilash Kancharla (SERA, 2024)

Exploring Flavors Through AI: The Future of Culinary Taste Prediction. - Cemil Emre Yavas; Jongyeop Kim; Lei Chen 029 (SERA, 2024)

Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy. - Cemil Emre Yavas; Jongyeop Kim; Lei Chen 029 (IEEE Access, 2024)