| Long short term memory recurrent neural network classifier for intrusion detection J Kim, J Kim, TTH Le, H Kim 2016 International Conference on Platform Technology and Service (PlatCon), 1-5, 2016 | 754 | 2016 |
| Nonintrusive Load Monitoring Based on Advance Deep Learning and Novel Signature J Kim, TTH Le, H Kim Computational Intelligence and Neuroscience 2 (3), 1-22, 2017 | 191 | 2017 |
| An Effective Intrusion Detection Classifier using Long Short-Term Memory with Gradient Descent Optimization TTH Le, J Kim, H Kim. Platform Technology and Service (PlatCon), 2017 International Conference on, 1-6, 2017 | 178 | 2017 |
| Classification performance using gated recurrent unit recurrent neural network on energy disaggregation TTH Le, J Kim, H Kim 2016 International Conference on Machine Learning and Cybernetics (ICMLC …, 2016 | 104 | 2016 |
| Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks TTH Le, Y Kim, H Kim Applied Sciences 9 (7), 29, 2019 | 98 | 2019 |
| Classification and explanation for intrusion detection system based on ensemble trees and SHAP method TTH Le, H Kim, H Kang, H Kim Sensors 22 (3), 1154, 2022 | 97 | 2022 |
| Household Appliance Classification using Lower Odd-Numbered Harmonics and the Bagging Decision Tree TTH Le, H Kang, H Kim IEEE Access 8 (1), 55937 - 55952, 2020 | 83 | 2020 |
| Toward load identification based on the hilbert transform and sequence to sequence long short-term memory TTH Le, S Heo, H Kim IEEE Transactions on Smart Grid 12 (4), 3252-3264, 2021 | 71 | 2021 |
| XGBoost for Imbalanced Multiclass Classification-Based Industrial Internet of Things Intrusion Detection Systems TTH Le, YE Oktian, H Kim s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 67 | 2022 |
| An Effective Classification for DoS Attacks in Wireless Sensor Networks TTH Le, T Park, D Cho, H Kim 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN …, 2018 | 60 | 2018 |
| Non-intrusive load monitoring based on novel transient signal in household appliances with low sampling rate TTH Le, H Kim Energies 11 (12), 3409, 2018 | 57 | 2018 |
| DTA: Physical Camouflage Attacks using Differentiable Transformation Network N Suryanto, Y Kim, H Kang, HT Larasati, Y Yun, TTH Le, H Yang, SY Oh, ... Computer Vision and Pattern Recognition, 15305-15314, 2022 | 47 | 2022 |
| Background Load Denoising across Complex Load Based on Generative Adversarial Network to Enhance Load Identification A Mukaroh, TTH Le, H Kim Sensors 20 (10), 1-23, 2020 | 18 | 2020 |
| The Impact of PCA-Scale Improving GRU Performance for Intrusion Detection TTH Le, H Kang, H Kim 2019 International Conference on Platform Technology and Service (PlatCon), 1-6, 2019 | 17 | 2019 |
| Flamingo-optimization-based deep convolutional neural network for iot-based arrhythmia classification A Kumar, M Kumar, RP Mahapatra, P Bhattacharya, TTH Le, S Verma, ... Sensors 23 (9), 4353, 2023 | 13 | 2023 |
| An Approach to Build an Efficient Intrusion Detection Classifier TTH Le, J Kim, J Kim, H Kim Journal of Platform Technology 3 (5), 43-52, 2015 | 13 | 2015 |
| Exploring local explanation of practical industrial AI applications: A systematic literature review TTH Le, AT Prihatno, YE Oktian, H Kang, H Kim Applied Sciences 13 (9), 5809, 2023 | 9 | 2023 |
| A new fluid flow approximation method using a vision transformer and a U-shaped convolutional neural network H Kang, Y Kim, TTH Le, C Choi, Y Hong, S Hong, SW Chin, H Kim AIP Advances 13 (2), 2023 | 9 | 2023 |
| Trends of Quantum Computing Applications to Computer Vision HT Larasati, TTH Le, H Kim 2022 International Conference on Platform Technology and Service (PlatCon), 7-12, 2022 | 9 | 2022 |
| Active: Towards highly transferable 3d physical camouflage for universal and robust vehicle evasion N Suryanto, Y Kim, HT Larasati, H Kang, TTH Le, Y Hong, H Yang, SY Oh, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
Hyoeun KangPusan National University在 pusan.ac.kr 的电子邮件经过验证
