Results 221 to 230 of about 516,809 (278)

Multi‐Responsive Dendrimer‐Hyaluronic Acid Hydrogel With Lubricating and Immunoregulatory Functions for Synergistic Osteoarthritis Therapy

Advanced Functional Materials, EarlyView.
A hydrogel with dynamic cross‐links was formed by cross‐linking hyaluronic acid with curcumin‐preloaded, phenylboronic acid‐modified poly(amidoamine) dendrimers. This hydrogel exhibited excellent injectability and self‐healing ability, enabling controlled Cur release in response to low pH, high reactive oxygen species (ROS) generation, or mechanical ...
Junjie Liu, Mengsi Zhan, Haoyu Huang, Jianhong Wang, Cheng Ni, Xiaojun Zhou, Hannah Küttner, Cong Song, Xiangyang Shi, Andrij Pich   +9 more
wiley   +1 more source

RT-CBAM: Refined Transformer Combined with Convolutional Block Attention Module for Underwater Image Restoration. [PDF]

Sensors (Basel)
Ye R, Qian Y, Huang X.
europepmc   +1 more source

Kinetic Regimes of Hydrogen Absorption in Thin Films

Advanced Functional Materials, EarlyView.
Knowledge of the hydrogen incorporation mechanisms in thin layers in relation to the amount absorbed is essential to design coatings and devices compatible with hydrogen‐based technologies. A combination of simultaneous in situ methods gives detailed insight into the hydrogenation of a prototypical hydrogen absorber layer in a time‐dependent manner ...
Laura Guasco, Sabine Pütter, Yury N. Khaydukov, Luca Silvi, Mariano A. Paulin, Attila Csik, Thomas Keller, Bernhard Keimer   +7 more
wiley   +1 more source

Underwater image restoration based on dual information modulation network. [PDF]

Sci Rep
Wang L, Li X, Li K, Mu Y, Zhang M, Yue Z.   +5 more
europepmc   +1 more source

Low-illumination and noisy bridge crack image restoration by deep CNN denoiser and normalized flow module. [PDF]

Sci Rep
Qiu G, Tao D, You D, Wu L.
europepmc   +1 more source

Improving Rebar Twist Prediction Exploiting Unified-Channel Attention-Based Image Restoration and Regression Techniques. [PDF]

Sensors (Basel)
Park JC, Kim GW.
europepmc   +1 more source

Self-supervised image restoration in coherent X-ray neuronal microscopy

Laugros A, Cloetens P, Bosch C, Schoonhoven R, Pavlovic L, Kuan AT, Livingstone J, Zhang Y, Kim M, Hendriksen A, Holler M, Wanner AA, Azevedo A, Batenburg KJ, Tuthill JC, Lee WA, Schaefer AT, Vigano N, Pacureanu A.   +18 more
europepmc   +1 more source

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Iterative Image Restoration

Applied Optics, 1975
The projection method of solving a set of linear equations was used to restore linearly degraded images. The advantages of this method are that it always converges, it can readily make use of a priori information about the image, and it does not need excessive computation time.
T S, Huang, D A, Barker, S P, Berger
openaire   +2 more sources

Binary‐image restoration

Canadian Journal of Statistics, 1994
AbstractWe consider the problem of binary‐image restoration. The image being restored is not random, and we make no assumption about the nature of its contents. The estimate of the colour at each site is a fixed (the same for all sites) function of the data available in a neighbourhood of that site.
Meloche, J., Zamar, R. H.
openaire   +1 more source