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ORCIDJongyeop Kim
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2020 – today
- 2024
[j4]Cemil Emre Yavas
, Jongyeop Kim, Lei Chen:
Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy. IEEE Access 12: 105429-105459 (2024)- [c31]Jongho Seol, Abhilash Kancharla, Jongyeop Kim:
Enhancing Reliability in Hybrid Cross-Chain Models: Adaptive Thresholds for Performance and Adaptability. SERA 2024: 66-72 - [c30]Jongho Seol, Jongyeop Kim, Abhilash Kancharla:
Optimizing Cross-Chain DeFi and Smart Contracts in Stochastic Integration. SERA 2024: 73-80 - [c29]Tasnim Akter Onisha, Jongyeop Kim, Jongho Seol:
Multi Label Sound Classification using Deep Learning Models. SERA 2024: 129-134 - [c28]Cemil Emre Yavas, Jongyeop Kim, Lei Chen:
Exploring Flavors Through AI: The Future of Culinary Taste Prediction. SERA 2024: 139-147 - 2023
- [c27]Hamed Sanusi, Zheni Utic, Jongyeop Kim:
Improving Network Intrusion Detection Using Supervised Learning for Feature Selection. BCD 2023: 42-48 - [c26]Jongho Seol, Jongyeop Kim, Abhilash Kancharla:
DRL Model for Distributed Agent-based IoT on Multi-Access Edge Computing for Accident Forecast. BCD 2023: 154-161 - [c25]Jongyeop Kim, Jongho Seol, Tasnim Akter Onisha, Yiming Ji:
Hyper Parameter Classification on Deep Learning Model for Cryptocurrency Price Prediction. BCD 2023: 162-169 - [c24]Daniel Ukene, Hayden Wimmer, Jongyeop Kim:
Evaluating the Performance of Containerized Webservers against web servers on Virtual Machines using Bombardment and Siege. SERA 2023: 144-152 - [c23]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 - [c22]Ian Trawinski, Hayden Wimmer, Jongyeop Kim:
Anomaly Detection in Intrusion Detection System using Amazon SageMaker. SERA 2023: 210-217 - [c21]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 - [c20]Md. Arifur Rahman, Hossein Taheri, Jongyeop Kim:
Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing. SNPD-Winter 2023: 274-281 - [c19]Suhaima Jamal, Meenalosini Vimal Cruz, Jongyeop Kim:
Cloud-Based Human Emotion Classification Model from EEG Signals. UEMCON 2023: 57-64 - 2022
- [c18]Matthew Sands, Jongyeop Kim, Jinki Kim:
Output-only Structural Damage Detection via Enhanced Random Vibration Analysis using LSTM/GRU model. SERA 2022: 3-9 - [c17]Seongsoo Kim, Yiming Ji, Jongyeop Kim, Eric W. Montie:
Dolphin Whistle Visualization Framework: MySQL Query Approach. SERA 2022: 22-29 - [c16]Seongsoo Kim, Hayden Wimmer, Jongyeop Kim:
Analysis of Deep Learning Libraries: Keras, PyTorch, and MXnet. SERA 2022: 54-62 - [c15]Omotola Adekanbmi, Hayden Wimmer, Jongyeop Kim:
Big Cyber Security Data Analysis with Apache Mahou. SERA 2022: 83-90 - [c14]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 - [c13]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
- [c12]Jongyeop Kim, Seongsoo Kim, Hayden Wimmer, Hong Liu:
A Cryptocurrency Prediction Model Using LSTM and GRU Algorithms. BCD 2021: 37-44 - [c11]Jongyeop Kim, Hayden Wimmer, Hong Liu, Seongsoo Kim:
A Streaming Data Collection and Analysis for Cryptocurrency Price Prediction using LSTM. BCD 2021: 45-52 - [c10]Seongsoo Kim, Lei Chen, Jongyeop Kim:
Intrusion Prediction using Long Short-Term Memory Deep Learning with UNSW-NB15. BCD 2021: 53-59 - [c9]Seongsoo Kim, Lei Chen, Jongyeop Kim:
Intrusion Prediction using LSTM and GRU with UNSW-NB15. ComComAP 2021: 101-106
2010 – 2019
- 2019
- [c8]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 - 2018
- [j3]Jongyeop Kim, Jinwoong Kim, Jemin Lee, Jihwan P. Choi:
Physical-Layer Security Against Smart Eavesdroppers: Exploiting Full-Duplex Receivers. IEEE Access 6: 32945-32957 (2018) - [j2]Jongyeop Kim, Abhilash Kancharla, Jongho Seol, Indy Park, Nohpill Park:
Optimized Common Parameter Set Extraction Framework by Multiple Benchmarking Applications on a Big Data Platform. Int. J. Networked Distributed Comput. 6(4): 195-203 (2018) - [j1]Jongyeop Kim, Wonhong Jeon, Kyung-Joon Park, Jihwan P. Choi:
Coexistence of Full-Duplex-Based IEEE 802.15.4 and IEEE 802.11. IEEE Trans. Ind. Informatics 14(12): 5389-5399 (2018) - [c7]Jongyeop Kim, Abhilash Kancharla, Jongho Seol, Noh-Jin Park, Nohpill Park:
Optimized Common Parameter Set Extraction by Benchmarking Applications on a Big Data Platform. SNPD 2018: 1-7 - 2017
- [c6]Abhilash Kancharla, Jongyeop Kim, Noh-Jin Park, Nohpill Park:
Big Streaming Data Buffering Optimization. ACIT/CSII/BCD 2017: 218-223 - [c5]Jongyeop Kim, Noh-Jin Park, Nohpill Park:
A Study of Heuristically-Based Parametric Performance Improvement/Optimization Algorithms for BigData Computing. ACIT/CSII/BCD 2017: 413-418 - 2016
- [c4]Jongyeop Kim, Jihwan P. Choi:
Cancellation-Based Friendly Jamming for Physical Layer Security. GLOBECOM 2016: 1-6 - 2015
- [c3]Jongyeop Kim, Nohpill Park:
Identification of the Optimal Hadoop Configuration Parameters Set for Mapreduce Computing. ACIT-CSI 2015: 108-112 - [c2]Jongyeop Kim, Ashwin Kumar T. K, K. M. George, Nohpill Park:
Performance evaluation and tuning for MapReduce computing in Hadoop distributed file system. INDIN 2015: 62-68 - 2014
- [c1]Ashwin Kumar T. K, Jongyeop Kim, K. M. George, Nohpill Park:
Dynamic data rebalancing in Hadoop. ICIS 2014: 315-320
Coauthor Index
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last updated on 2024-10-09 21:26 CEST by the dblp team
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