Jongyeop Kim
Orcid: 0000-0002-1068-9855
According to our database1,
Jongyeop Kim
authored at least 35 papers
between 2014 and 2024.
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Bibliography
2024
Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy.
IEEE Access, 2024
Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024
Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024
Enhancing Reliability in Hybrid Cross-Chain Models: Adaptive Thresholds for Performance and Adaptability.
Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024
Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024
2023
Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023
Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing.
Proceedings of the 25th ACIS International Winter Conference on Software Engineering, 2023
Evaluating the Performance of Containerized Webservers against web servers on Virtual Machines using Bombardment and Siege.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023
Deep Learning Model to Improve the Stability of Damage Identification via Output-only Signal.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023
A Comparative Study of Deep Learning Models for Hyper Parameter Classification on UNSW-NB15.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023
DRL Model for Distributed Agent-based IoT on Multi-Access Edge Computing for Accident Forecast.
Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023
Improving Network Intrusion Detection Using Supervised Learning for Feature Selection.
Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023
Hyper Parameter Classification on Deep Learning Model for Cryptocurrency Price Prediction.
Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023
2022
Ensemble Deep Learning Model for Damage Identification via Output-Only Signal Analysis.
Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering, 2022
A Deep Learning Model for Predicting Damaged Points via Random Vibration Signal Analysis.
Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering, 2022
Output-only Structural Damage Detection via Enhanced Random Vibration Analysis using LSTM/GRU model.
Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022
Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022
Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022
Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022
2021
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2021, Shenzhen, 2021
A Streaming Data Collection and Analysis for Cryptocurrency Price Prediction using LSTM.
Proceedings of the 6th IEEE/ACIS International Conference on Big Data, 2021
Proceedings of the 6th IEEE/ACIS International Conference on Big Data, 2021
Proceedings of the 6th IEEE/ACIS International Conference on Big Data, 2021
2019
Automated Configuration Parameter Classfication Model for Hive Query Plan on the Apache Yarn.
Proceedings of the 2019 IEEE International Conference on Big Data, 2019
2018
IEEE Trans. Ind. Informatics, 2018
Optimized Common Parameter Set Extraction Framework by Multiple Benchmarking Applications on a Big Data Platform.
Int. J. Networked Distributed Comput., 2018
Physical-Layer Security Against Smart Eavesdroppers: Exploiting Full-Duplex Receivers.
IEEE Access, 2018
Optimized Common Parameter Set Extraction by Benchmarking Applications on a Big Data Platform.
Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, 2018
2017
A Study of Heuristically-Based Parametric Performance Improvement/Optimization Algorithms for BigData Computing.
Proceedings of the 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, 2017
Proceedings of the 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, 2017
2016
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
Performance evaluation and tuning for MapReduce computing in Hadoop distributed file system.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Identification of the Optimal Hadoop Configuration Parameters Set for Mapreduce Computing.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015
2014
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014