Improving the Prediction Accuracy of Data-Driven Fault Diagnosis for HVAC Systems by Applying the Synthetic Minority Oversampling Technique

Shakerian, Shahrad / Jebelli, Houtan / Sitzabee, William E. | TIBKAT | 2022

CORE: corebased synthetic minority oversampling and borderline majority undersampling technique

Bunkhumpornpat, Chumphol / Sinapiromsaran, Krung | British Library Online Contents | 2015

Probabilistic prediction of uniaxial compressive strength for rocks from sparse data using Bayesian Gaussian process regression with Synthetic Minority Oversampling Technique (SMOTE)

Song, Chao / Zhao, Tengyuan / Xu, Ling et al. | Elsevier | 2023

Probabilistic prediction of uniaxial compressive strength for rocks from sparse data using Bayesian Gaussian process regression with Synthetic Minority Oversampling Technique (SMOTE)

Song, Chao / Zhao, Tengyuan / Xu, Ling et al. | Elsevier | 2024

A knowledge-guided and data-driven method for building HVAC systems fault diagnosis

Li, Tingting / Zhao, Yang / Zhang, Chaobo et al. | Elsevier | 2021