Results 51 to 60 of about 11,848 (250)
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation
Remote Sensing, 2022 Convolutional neural networks (CNNs) have achieved high performance in synthetic aperture radar (SAR) automatic target recognition (ATR). However, the performance of CNNs depends heavily on a large amount of training data.
Chenwei Wang +6 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.The study presents an antibiotic‐free strategy using medical fabrics coated with supramolecular assemblies of polyarginine and hyaluronic acid. These coatings showed strong antimicrobial and anti‐biofilm activity in vitro and in vivo, achieving major bacterial load reductions, including against MRSA.
Adjara Diarrassouba +18 more
wiley +1 more source
Accurate Underwater ATR in Forward-Looking Sonar Imagery Using Deep Convolutional Neural Networks
IEEE Access, 2019 Underwater automatic target recognition (ATR) is a challenging task for marine robots due to the complex environment. The existing recognition methods basically use hand-crafted features and classifiers to recognize targets, which are difficult to ...
Leilei Jin, Hong Liang, Changsheng Yang
doaj +1 more source
Advanced Healthcare Materials, EarlyView.This work pioneers melt electrowriting (MEW) of polyethylene vinyl acetate (PEVA) to fabricate ultra‐compliant, high‐resolution scaffolds. By integrating microscale precision with soft tissue‐like biomechanics, PEVA overcomes stiffness‐driven limitations of conventional MEW polymers, establishing a mechanically biomimetic platform for soft tissue ...
Finn Snow +9 more
wiley +1 more source
SAR Target Recognition via Meta-Learning and Amortized Variational Inference
Sensors, 2020 The challenge of small data has emerged in synthetic aperture radar automatic target recognition (SAR-ATR) problems. Most SAR-ATR methods are data-driven and require a lot of training data that are expensive to collect.
Ke Wang, Gong Zhang
doaj +1 more source
Feature Learning for SAR Target Recognition with Unknown Classes by Using CVAE-GAN
Remote Sensing, 2021 Even though deep learning (DL) has achieved excellent results on some public data sets for synthetic aperture radar (SAR) automatic target recognition(ATR), several problems exist at present.
Xiaowei Hu +3 more
doaj +1 more source
Advanced Materials, EarlyView.Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder
Leida xuebao, 2013 Automatic Target Recognition (ATR) of Synthetic Aperture Radar (SAR) image is investigated. A SAR feature extraction algorithm based on multilayer auto-encoder is proposed.
Sun Zhi-jun +3 more
doaj +1 more source
ARTMAP-FTR: A Neural Network For Fusion Target Recognition, With Application To Sonar Classification [PDF]
, 1998 ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A. +2 more
core +2 more sources
POM‐Based Water Splitting Catalyst Under Acid Conditions Driven by Its Assembly on Carbon Nanotubes
Advanced Materials, EarlyView.A newly‐engineered POM‐based electrocatalyst incorporating non‐innocent counter cations exhibits fast kinetics for either the OER or HER under strongly acidic conditions (1 m H2SO4), depending on whether it is assembled on carbon nanotubes (1@CNT) or physically mixed with them (1/CNT). In water‐splitting tests using a two‐electrode setup, these systems
Eugenia P. Quirós‐Díez +8 more
wiley +1 more source