Results 251 to 260 of about 1,158,498 (310)
The Effects of pressure on wide bandgap GaN semiconductors
William Kang, Linda Tran, Eunja Kim
openalex +1 more source
Comparative Study of Various GAN Models for Synthetic Image Generation
Divyakant Meva +1 more
openalex +1 more source
Farmers’ Protests in Germany: Media Coverage and Types of Bias
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley +1 more source
Improving generalization of polyp detection via conditional StyleGAN augmented training. [PDF]
Lin Y +7 more
europepmc +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
Thermal Stability of Thin Metal Films on GaN Surfaces: Morphology and Nanostructuring. [PDF]
Stafiniak A +5 more
europepmc +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Correction: Palmatine Attenuates Lipopolysaccharide-Induced Acute Lung Injury Via Suppression of NLRP3 Inflammasome Activation, Pyroptosis, and Metabolic Remodeling. [PDF]
Ning P +13 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source

