Results 281 to 290 of about 539,097 (330)
A Study on Class Imbalance Handling in the WM-811K Dataset
Sang‐Hyun Park +2 more
openalex +1 more source
From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts
Advanced Functional Materials, EarlyView.Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado +6 more
wiley +1 more source
Shaping Ti3C2 MXene Nanospheres for Precision Near‐Infrared Photothermal Therapy
Advanced Functional Materials, EarlyView.In this study, we report producing spherical MXenes via fs laser fragmentation of Ti3C2 flakes in liquid medium. The nanoparticles demonstrated pronounced light absorption and high photothermal conversion efficiencies of 68% and 63% under heating with NIR‐I and NIR‐II lasers, respectively.
Julia S. Babkova +21 more
wiley +1 more source
Atomic‐Scale Light Coupling Control in Ultrathin Photonic Membranes
Advanced Functional Materials, EarlyView.Ultrathin photonic nanomembranes provide atomic‐scale control over the coupling between incident light and high‐Q photonic modes, enabling angstrom‐level resonance tuning and strong field confinement. When integrated with TMD monolayers, they further yield enhanced light–matter interactions, offering a versatile platform for advancing quantum photonics,
Chih‐Zong Deng +8 more
wiley +1 more source
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On the Class Imbalance Problem
2008 Fourth International Conference on Natural Computation, 2008The class imbalance problem has been recognized in many practical domains and a hot topic of machine learning in recent years. In such a problem, almost all the examples are labeled as one class, while far fewer examples are labeled as the other class, usually the more important class.
Xinjian Guo +4 more
openaire +1 more source
2011 IEEE 11th International Conference on Data Mining, 2011
Class imbalance (i.e., scenarios in which classes are unequally represented in the training data) occurs in many real-world learning tasks. Yet despite its practical importance, there is no established theory of class imbalance, and existing methods for handling it are therefore not well motivated.
Byron C. Wallace +3 more
openaire +1 more source
Class imbalance (i.e., scenarios in which classes are unequally represented in the training data) occurs in many real-world learning tasks. Yet despite its practical importance, there is no established theory of class imbalance, and existing methods for handling it are therefore not well motivated.
Byron C. Wallace +3 more
openaire +1 more source