| Hybrid deep learning-based epidemic prediction framework of COVID-19: South Korea case F Rahmadani, H Lee Applied Sciences 10 (23), 8539, 2020 | 25 | 2020 |
| ODE-based epidemic network simulation of viral Hepatitis A and kernel support vector machine based vaccination effect analysis F Rahmadani, H Lee 한국지능시스템학회 논문지 30 (2), 106-112, 2020 | 5 | 2020 |
| Dynamic model for the epidemiology of diarrhea and simulation considering multiple disease carriers F Rahmadani, H Lee International Journal of Environmental Research and Public Health 17 (16), 5692, 2020 | 4 | 2020 |
| Implementation and simulation of cyber physical system for robotic arm control in smart factory S Saif, F Rahmadani, H Lee 한국지능시스템학회 논문지 29 (4), 308-315, 2019 | 3 | 2019 |
| Oxidative Stress Biomarkers in Predictive Multi-Class Modeling of Depression Severity with Diabetes Mellitus, Cardiovascular Disease and Hypertension Comorbidity S Zaidan, F Rahmadani, M Maalouf, HF Jelinek | | 2023 |
| Forecast COVID-19 Transmission using Deep Learning based Meta-population Model F Rahmadani, L Hyunsoo Korea Institute Intelligent System Fall Conference 30 (2), 166-167, 2020 | | 2020 |
| Multiple-layered Network for Modeling Transmission of COVID-19 Outbreak F Rahmadani, H Lee Korea Institute Intelligent System Autumn Conference 30 (1), pp. 37-38, 2020 | | 2020 |
| Compartment Modeling and Classification of Viral Hepatitis A's Infection using Nonlinear Support Vector Machine F Rahmadani, H Lee Korean Institute Intelligent System Autumn Conference 29 (2), pp. 87-88, 2019 | | 2019 |
| Rancang Bangun Computerized Maintenance Management System Mesin Bending dengan Metode Fault Tree Analysis dan Decision Table (Studi Kasus: PT. Dinamika Energitama Nusantara) F Rahmadani Universitas Brawijaya, 2015 | | 2015 |
Hyunsoo LeeSchool of Industrial Engineering, Kumoh National Institute of Technology, KoreaVerified email at kumoh.ac.kr
