Results 131 to 140 of about 2,374,745 (297)
Three-Stage Recursive Learning Technique for Face Mask Detection on Imbalanced Datasets
In response to the COVID-19 pandemic, governments worldwide have implemented mandatory face mask regulations in crowded public spaces, making the development of automatic face mask detection systems critical.
Chi-Yi Tsai +2 more
doaj +1 more source
STB: synthetic minority oversampling technique for tree-boosting models for imbalanced datasets of intrusion detection systems. [PDF]
Li LH, Ahmad R, Tanone R, Sharma AK.
europepmc +1 more source
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim +11 more
wiley +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Sub‐stoichiometric amounts of Na+ or K+ enhance defect healing during Silicalite‐1 (MFI) and TS‐1 calcination by promoting Si–O–Si annealing and healing framework vacancies. The resulting defect‐free zeolites are more hydrophobic and show improved butanol/water separation and improved activity and selectivity in the epoxidation of 1‐hexene, offering a ...
Christos Kanteler +14 more
wiley +1 more source
How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray images. [PDF]
Zhang Z +4 more
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Data Augmentation with Variational Autoencoder for Imbalanced Dataset
Learning from an imbalanced distribution presents a major challenge in predictive modeling, as it generally leads to a reduction in the performance of standard algorithms. Various approaches exist to address this issue, but many of them concern classification problems, with a limited focus on regression. In this paper, we introduce a novel method aimed
Samuel Stocksieker +2 more
openaire +2 more sources
Weighting Methods for Rare Event Identification From Imbalanced Datasets. [PDF]
He J, Cheng MX.
europepmc +1 more source
Geometric SMOTE for imbalanced datasets with nominal and continuous features
João Fonseca, F. Bação
semanticscholar +1 more source

