Results 91 to 100 of about 40,795 (265)

Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset. [PDF]

Sensors (Basel), 2022
Swana EF, Doorsamy W, Bokoro P.
europepmc   +1 more source

Tuning Redox Dynamics in Cu‐Based Electrocatalysts: Effect of Secondary Metals

Advanced Functional Materials, EarlyView.
Advanced analysis of operando X‐ray absorption spectroscopy data reveals that secondary metals affect the redox processes in Cu‐based catalysts for electrocatalytic CO2 reduction. This influences the amount of oxides formed under pulsed reaction conditions and the distribution of reaction products.
Martina Rüscher, Andrea Martini, Eduardo Ortega, Lichen Bai, Eric Liberra, Daniel Escalera‐López, Hyo Sang Jeon, Antonia Herzog, Clara Rettenmaier, Dorottya Hursán, David Koshy, Mariana Cecilio de Oliveira Monteiro, Timon Wagner, Leon Jacobse, Felix Haase, Arno Bergmann, Janis Timoshenko, Beatriz Roldan Cuenya   +17 more
wiley   +1 more source

Proposal of self and semi-supervised learning for imbalanced classification of coronary heart disease tabular data

Tecnología en Marcha
Triple Mixup is an augmentation policy in the hidden latent space we introduced in the Contrastive Mixup Self-Semi Supervised learning framework, to address the imbalanced data problem, for Cardiovascular Heart Diseases tabular dataset. Medical tabular
Danny Xie-Li, Manfred González-Hernández   +1 more
doaj   +1 more source

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

Advanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li, Zhangzheng Xiao, Zheng Yan, Adnan Raza Altaf, Qun Song, Dingding Yao, Afshan Sohail, Yixin Wang, Wenxiu Ma, Shanjun Li, Yaohui Chen, Peiwen Liu, Kai Zhang   +12 more
wiley   +1 more source

The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data

IEEE Access
We proposes a category imbalance classification model based on mixed feature enhancement between virtual and real domains to address the class imbalance problem in maritime target classification applications.
Fengyu Yang, Peng Wang, Wutao Qin, Zhangze Liao   +3 more
doaj   +1 more source

Hybrid Feature Selection Framework for the Parkinson Imbalanced Dataset Prediction Problem. [PDF]

Medicina (Kaunas), 2021
Qasim HM, Ata O, Ansari MA, Alomary MN, Alghamdi S, Almehmadi M.   +5 more
europepmc   +1 more source

Electrostatic Superlattices Beyond 1:1 Stoichiometry

Advanced Functional Materials, EarlyView.
Polymer‐mediated charge regulation drives two hierarchical routes to higher‐stoichiometry nanoparticle superlattices. Tuning the polymer's molecular weight promotes progressive interstitial filling, transforming ZnS into the fully occupied CaF2${\rm CaF}_2$ lattice. Exchanging polymer assignment between large and small nanoparticles instead breaks CsCl
Binay P. Nayak, Prapti Kakkar, Wesley P. Korba, Honghu Zhang, Wenjie Wang, Surya K. Mallapragada, Alex Travesset, David Vaknin   +7 more
wiley   +1 more source

Supervised Machine Learning Based Noninvasive Prediction of Atrial Flutter Mechanism from P-to-P Interval Variability under Imbalanced Dataset Conditions. [PDF]

Comput Intell Neurosci, 2023
Gul MU, Kamarul Azman MH, Kadir KA, Shah JA, Hussen S.   +4 more
europepmc   +1 more source

Reconfigurable Au Nanoparticle Monolayers on Regenerated Cellulose Hydrogels: Highly Sensitive SERS Detection of Polystyrene Micro/Nanoplastics With Interpretable Deep Learning

Advanced Functional Materials, EarlyView.
A regenerated cellulose (RC) hydrogel‐based SERS substrate integrating a Marangoni‐transferred gold nanoparticle self‐assembled monolayer (Au‐SAM) is fabricated. Reswelling‐induced hotspot formation enhances polystyrene micro/nanoplastics (PS MNPs) detection in complex matrices, providing reproducible, high‐throughput SERS signals across diverse ...
Youngho Jeon, Yu‐Jin Jeon, Suji Lee, Jeseong Kim, Dae‐Hyun Jung, Jungmok You   +5 more
wiley   +1 more source

P-Wave detection using deep learning in time and frequency domain for imbalanced dataset. [PDF]

Heliyon, 2021
Sugondo RA, Machbub C.
europepmc   +1 more source