Results 201 to 210 of about 44,456 (260)

In Situ Photopolymerization of Smectic B Liquid‐Crystalline Electrolytes from Mesogenic Phosphate–Diacrylate/Ionic Liquid Complexes for High‐Performance Soft Ionic Actuators

Advanced Robotics Research, EarlyView.
A flexible liquid‐crystalline electrolyte membrane via in situ photopolymerization of a phosphate‐functionalized mesogen, ionic liquid, and diacrylate monomer is developed. The resulting smectic B (SmB)‐phase structure enables 2D ion transport with high conductivity (10−4 S cm−1).
Chengyang Liu, Masafumi Yoshio
wiley   +1 more source

Improving maize LAI estimation by integrating multispectral imagery and digital surface models with ensemble learning. [PDF]

Front Plant Sci
Li W, Lou S, He J, Zhao J, Liu X, Fu G, Pan K, Li T.   +7 more
europepmc   +1 more source

Radiomic Characterization of Adrenal Incidentalomas on NECT: Retrospective Exploratory Study and Systematic Review. [PDF]

J Imaging
Frisina P, Ricci P, Valentini F, Messineo D.   +3 more
europepmc   +1 more source

Visible-Infrared Fusion Based on CNN and Deformable Transformer. [PDF]

J Imaging
Wang X, Gu X, Li B, Zhang M, Yang P, Fu Q.   +5 more
europepmc   +1 more source

RPINet: Dual-branch attention-guided fusion of remote sensing images and point clouds for urban scene segmentation. [PDF]

PLoS One
Jing Z, Yan Z.
europepmc   +1 more source

A Multi-Modal Few-Shot Learning Framework for Foreign Object Segmentation in GIS Inspection. [PDF]

Sensors (Basel)
Liu J, Lang Y, Tang J, Li Q, Yang S, Dian S.   +5 more
europepmc   +1 more source

Region guided mask R-CNN with Haralick ResNet fusion for accurate coronary artery disease detection in computed tomography angiography images. [PDF]

Sci Rep
Revathi G, Mathew OC.
europepmc   +1 more source

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Texture feature extraction

Pattern Recognition Letters, 1987
Abstract We present a new approach to texture feature extraction from a cooccurrence matrix. Computationally, the method is much faster than traditional uses of cooccurrence matrices. Using Brodatz's textures, the proposed features are evaluated and compared with those suggested by Conners et al. (1984).
Dong-Chen He
exaly   +2 more sources

Decorrelation Methods of Texture Feature Extraction

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980
This paper presents the development and evaluation of a visual texture feature extraction method based on a stochastic field model of texture. Results of recent visual texture discrimination experiments are reviewed in order to establish necessary and sufficient conditions for texture features that are in agreement with human discrimination.
Olivier D. Faugeras, William K. Pratt
exaly   +3 more sources

Feature extraction for texture classification

Pattern Recognition, 1980
Abstract We address the problem of texture classification. Random walks are simulated for plane domains A bounded by absorbing boundaries Γ, and the absorption distributions are estimated. Measurements derived from the above distributions are the features used for texture classification.
Harry Wechsler, Todd K. Citron
exaly   +2 more sources