Results 231 to 240 of about 248,404 (280)

Determinants of Rice Grain Quality: Synergistic Roles of Genetics, Environment, and Agronomic Practices. [PDF]

Int J Mol Sci
Tang L, Fan H, Wang J, Zhong K, Tan H, Ding F, Wang L, Song J, Han M.   +8 more
europepmc   +1 more source

Non-Surgical Correction of Facial Asymmetry: A Narrative Review of Non-Surgical Modalities and Clinical Case Examples. [PDF]

J Clin Med
Lee C, Chae S, Kwon HJ, Jeong W, Lee KK, Chae M.   +5 more
europepmc   +1 more source

N²-(1-carboxyethyl)-2'-deoxyguanosine as a genotoxic glycation marker associated with chromatin architectural alterations in oral squamous cell carcinoma. [PDF]

Sci Rep
Khan G, Waraich RS, Khan H, Ahmed RZ.
europepmc   +1 more source

Finger millet and soybean as functional ingredients in next-generation fermented foods: a review of nutritional, technological, and health-promoting perspectives. [PDF]

Front Nutr
Kokisi P, Nchu F, Kambizi L, Bvenura C.
europepmc   +1 more source

From Cultivation to Application: Unlocking Microalgae's Potential in Sustainable Food Systems. [PDF]

Foods
Guo X, Wakisaka M, Zhu J.
europepmc   +1 more source

Three-dimensional scene boundary representations for wall orientation and distance are represented distinctly in the human visual cortex. [PDF]

PLoS Biol
Wu Y, Li S.
europepmc   +1 more source

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Steganography Using Reversible Texture Synthesis

IEEE Transactions on Image Processing, 2015
We propose a novel approach for steganography using a reversible texture synthesis. A texture synthesis process resamples a smaller texture image, which synthesizes a new texture image with a similar local appearance and an arbitrary size. We weave the texture synthesis process into steganography to conceal secret messages.
Kuo-Chen, Wu, Chung-Ming, Wang
openaire   +4 more sources

Deep Correlations for Texture Synthesis

ACM Transactions on Graphics, 2017
Example-based texture synthesis has been an active research problem for over two decades. Still, synthesizing textures with nonlocal structures remains a challenge. In this article, we present a texture synthesis technique that builds upon convolutional neural networks and extracted statistics of pretrained deep features.
Omry Sendik, Daniel Cohen-Or
openaire   +3 more sources