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5篇 您的检索式:作者名="RAMENTOL"
    题名 作者 年代 出处 被引量
1Lymphangioma of the oesophagus; Diagnosis and treatment by endoscopic polypectomy 显示文摘Armengol-Miro JR Ramentol F Salord J 1979Endoscopy1979,3,11:1
2Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection 显示文摘VERBIEST N RAMENTOL E CORNELIS C 2014Applied Soft Computing2014,22,5:1
3A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines显示文摘Predictive health monitoring of micro gas turbines can significantly increase the availability and reduce the operating and maintenance costs.Methods for predictive health monitoring are typically developed for large-scale gas turbines and have often focused on single systems.In an effort to enable fleet-level health monitoring of micro gas turbines,this work presents a novel data-driven approach for predicting system degradation over time.The approach utilises operational data from real installations and is not dependent on data from a reference system.The problem was solved in two steps by:1)estimating the degradation from time-dependent variables and 2)forecasting into the future using only running hours.Linear regression technique is employed both for the estimation and forecasting of degradation.The method was evaluated on five different systems and it is shown that the result is consistent(r>0.8)with an existing method that computes corrected values based on data from a reference system,and the forecasting had a similar performance as the estimation model using only running hours as an input.Tomas Olsson Enislay Ramentol Moksadur Rahman Mark Oostveen Konstantinos Kyprianidis 2021Energy and AI2021,4,2:1
4SMOTE-RSB *:a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory显示文摘RAMENTOL E CABALLERO Y BELLO R 0,,02:1
5SMOTE-RSB : a hybrid preprocessing approach basedon oversampling and undersampling for high imbalanceddata-sets using SMOTE and rough sets theory 显示文摘RAMENTOL E CABALLERO Y BELLO R 2012Knowledge and Information Systems2012,33,2:1
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