Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Improving the Prediction Accuracy of Data-Driven Fault Diagnosis for HVAC Systems by Applying the Synthetic Minority Oversampling Technique
Improving the Prediction Accuracy of Data-Driven Fault Diagnosis for HVAC Systems by Applying the Synthetic Minority Oversampling Technique
Improving the Prediction Accuracy of Data-Driven Fault Diagnosis for HVAC Systems by Applying the Synthetic Minority Oversampling Technique
Shakerian, Shahrad (Autor:in) / Jebelli, Houtan (Autor:in) / Sitzabee, William E. (Autor:in)
ASCE Computing in civil engineering International conference
01.01.2021
8 pages
Aufsatz (Konferenz)
Englisch
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
CORE: corebased synthetic minority oversampling and borderline majority undersampling technique
British Library Online Contents | 2015
|Fault Detection and Diagnosis of HVAC Systems
British Library Online Contents | 1999
|Fault Detection and Diagnosis of HVAC Systems
British Library Conference Proceedings | 1999
|