| Explainable anomaly detection framework for maritime main engine sensor data D Kim, G Antariksa, MP Handayani, S Lee, J Lee Sensors 21 (15), 5200, 2021 | 35 | 2021 |
| Feature Attribution Analysis to Quantify the Impact of Oceanographic and Maneuverability Factors on Vessel Shaft Power Using Explainable Tree-Based Model D Kim, MP Handayani, S Lee, J Lee Sensors 23 (3), 1072, 2023 | 3 | 2023 |
| Anomaly detection in vessel sensors data with unsupervised learning technique MP Handayani, G Antariksa, J Lee 2021 International Conference on Electronics, Information, and Communication …, 2021 | 3 | 2021 |
| Navigating Energy Efficiency: A Multifaceted Interpretability of Fuel Oil Consumption Prediction in Cargo Container Vessel Considering the Operational and Environmental Factors MP Handayani, H Kim, S Lee, J Lee Journal of Marine Science and Engineering 11 (11), 2165, 2023 | 1 | 2023 |
| INFORMATION SYSTEM DEVELOPMENT USING SYSTEM DEVELOPMENT LIFE-CYCLE IN TB. PANJI JAYA MP HANDAYANI UAJY, 2018 | 1 | 2018 |
| Explainable Prediction of Vessel Shaft Power based on the Operational Oceanographic Factors MP Handayani, D Kim, S Lee, J Lee 대한산업공학회 추계학술대회 논문집, 2512-2541, 2022 | | 2022 |
| Decay Assessment for Propeller of the Frigate Naval Propulsion System with Explainable Artificial Intelligence MP Handayani, G Antariksa, J Lee 대한산업공학회 추계학술대회 논문집, 1393-1401, 2021 | | 2021 |
| INDUSTRIAL PRACTICE REPORT IN PT. KANISIUS MP HANDAYANI UAJY, 2018 | | 2018 |
Jihwan LeePukyong National University在 pknu.ac.kr 的电子邮件经过验证
Jihwan LeePukyong National University在 pknu.ac.kr 的电子邮件经过验证
Gian AntariksaResearch Assistant, Pukyong National University在 pukyong.ac.kr 的电子邮件经过验证