Results 81 to 90 of about 209,737 (306)
Semantic-Aware Guided Low-Light Image Super-Resolution
The single image super-resolution based on deep learning has achieved extraordinary performance. However, due to inevitable environmental or technological limitations, some images not only have low resolution but also low brightness.
Sheng Ren +3 more
doaj +1 more source
Atomic Size Misfit for Electrocatalytic Small Molecule Activation
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong +3 more
wiley +1 more source
In recent times, remote sensing image super-resolution reconstruction technology based on deep learning has experienced rapid development. However, most algorithms in this domain concentrate solely on enhancing the super-resolution network’s performance ...
Jiaming Bian, Ye Liu, Jun Chen
doaj +1 more source
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida +16 more
wiley +1 more source
Super Resolution Reconstruction Model Based on Attention Mechanism and Generative Adversarial Network [PDF]
Xia Miao, Kunzhi Yang, Xiaoyan Chen
openalex +1 more source
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan +16 more
wiley +1 more source
Multi-Branch Deep Residual Network for Single Image Super-Resolution
Recently, algorithms based on the deep neural networks and residual networks have been applied for super-resolution and exhibited excellent performance.
Peng Liu, Ying Hong, Yan Liu
doaj +1 more source
A Super-Resolution Reconstruction Driven Helmet Detection Workflow [PDF]
Yicheng Liu +6 more
openalex +1 more source
Plasmonic photocatalytic ammonia decomposition occurs at near‐room temperature on a plasmonic Au nanocone array under visible light illumination. The nanostructure efficiently harnesses plasmonic modes, leading to increased reaction rates upon plasmon decay.
Thanh‐Lam Bui +17 more
wiley +1 more source
A Fast Medical Image Super Resolution Method Based on Deep Learning Network
Low-resolution medical images can hamper medical diagnosis seriously, especially in the analysis of retina images and specifically for the detection of macula fovea.
Shengxiang Zhang +3 more
doaj +1 more source

