Results 91 to 100 of about 371,752 (272)
Classification of Time-Series Images Using Deep Convolutional Neural Networks
Convolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical feature representation from raw data.
Abdel-Hamid +28 more
core +1 more source
Molecularly engineered memristors integrating Ag nanoparticle–embedded synthetic DNA with quasi‐2D halide perovskites enable ultra‐low‐operational voltage, forming‐free resistive switching, and record‐low power density. This synergistic integration of customized DNA and 2D OHP in bio‐hybrid architecture enhances charge transport, reduces variability ...
Kavya S. Keremane +9 more
wiley +1 more source
Texture-based cloud classification [PDF]
The purpose of the 1988 ASEE Summer Program has been to broaden the application of texture-based cloud classification approaches to lower spatial resolution GOES imagery, and to design texture-based approaches for determining cloud cover over high albedo
Welch, Ronald M.
core +1 more source
Shape‐Changing Multiphase Microparticles from Complex Liquid Crystal Emulsions
Liquid crystalline network (LCN) microparticles are prepared from single, double (Janus), and triple emulsions through a simple and scalable bulk‐emulsification strategy. Under heating, the particles exhibit robust, reversible, large‐amplitude deformations that depend both on the morphology and the liquid crystals director field configuration.
Marco Turriani +3 more
wiley +1 more source
Deep Feature Retention Module Network for Texture Classification
Texture describes the unique features of an image. Therefore, texture classification is a crucial task in computer vision. Various CNN-based deep learning methods have been developed to classify textures.
Sung-Hwan Park +2 more
doaj +1 more source
Texture image analysis and texture classification methods - A review
Tactile texture refers to the tangible feel of a surface and visual texture refers to see the shape or contents of the image. In the image processing, the texture can be defined as a function of spatial variation of the brightness intensity of the pixels. Texture is the main term used to define objects or concepts of a given image.
Armi, Laleh, Fekri-Ershad, Shervan
openaire +2 more sources
Decellularized liver extracellular matrix scaffolds provide a platform to study dormant liver‐metastatic colorectal cancer. They induce reversible dormancy, in combination with nutrient depletion and low dose chemotherapy, through cell cycle arrest and chemotherapy resistance.
Sabrina N. VandenHeuvel +13 more
wiley +1 more source
Improving Texture Categorization with Biologically Inspired Filtering
Within the domain of texture classification, a lot of effort has been spent on local descriptors, leading to many powerful algorithms. However, preprocessing techniques have received much less attention despite their important potential for improving the
Garcia, Christophe +2 more
core
Evaluation of local orientation for texture classification [PDF]
The aim of this paper is to present a study where we evaluate the optimal inclusion of the texture orientation in the classification process. In this paper the orientation for each pixel in the image is extracted using the partial derivatives of the ...
Ghita, Ovidiu +2 more
core
A soft, stretchable, anti‐biofouling encapsulant is developed by integrating organosilicon nanowire networks with microstructured biodegradable elastomers. The hierarchical surface exhibits superhydrophobicity and enhances water barrier properties by 420% over pristine polymers, while preserving mechanical integrity.
Won Bae Han +7 more
wiley +1 more source

