Results 61 to 70 of about 6,415,065 (280)
Numerical study on signatures of atmospheric convective cells in radar images of the ocean
, 1999 Current and wind variations at the ocean surface can give rise to a modulation of the sea surface roughness and thus become visible in radar images. The discrimination between radar signatures of oceanic and atmospheric phenomena can be quite difficult ...
Susanne Ufermann +5 more
core +2 more sources
Remote Sensing, 2022 Empirical algorithms have become the mainstream of significant wave height (SWH) retrieval from synthetic aperture radar (SAR). But the plentiful features from multi-polarizations make the selection of input for the empirical model a problem.
Tianran Song +5 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.Multilayer aerosol jet printed components with a low‐loss, thermally stable dielectric are demonstrated using benzocyclobutene. Ink formulation and in‐line droplet evaporation control support high‐quality, versatile, and stable printing performance. A specialized measurement for low‐loss materials reveals promising microwave properties, which, combined
Md Ramjan Ali +3 more
wiley +1 more source
Development of Sea Surface Wind Monitoring System using Marine Radar
한국해양공학회지, 2018 A wave buoy commonly used for measurements in marine environments is very useful for measurements on the sea surface wind and waves. However, it is constantly exposed to external forces such as typhoons and the risk of accidents caused by ships ...
Jun-Soo Park
doaj +1 more source
Remote Sensing, 2023 This paper presents the first results of sea ice detection using the data of Ka- and Ku-band radars at low incidence angles. A classification method based on an unsupervised K-means approach is applied to the arrays of the data for the Arctic and ...
Maria Panfilova, Vladimir Karaev
doaj +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
A Neural Network Method for Retrieving Sea Surface Wind Speed for C-Band SAR
Remote Sensing, 2022 Based on the Ocean Projection and Extension neural Network (OPEN) method, a novel approach is proposed to retrieve sea surface wind speed for C-band synthetic aperture radar (SAR).
Peng Yu +7 more
doaj +1 more source
Radar Signatures of a Passenger Car [PDF]
, 2007 The upcoming new SAR satellites like TerraSAR-X and Radarsat-2 offer high spatial image resolution and dual receive antenna capabilities which open new opportunities for world-wide traffic monitoring applications.
Palubinskas, Gintautas, Runge, Hartmut
core +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
Advanced Science, EarlyView.CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Advanced Science, EarlyView.Multimetal Prussian blue analogues (PBAs) are converted by low‐temperature Ar annealing into a cavity/CN‐vacancy architecture that triggers in situ Ni exsolution, creating dense Ni‐PBA interfacial motifs. These motifs optimize water dissociation and H* adsorption in alkaline media, delivering markedly accelerated HER kinetics and long‐term stability ...
Shiqi Wang +5 more
wiley +1 more source