Results 81 to 90 of about 8,321 (168)
Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks
Ship-radiated noise is the main basis for ship detection in underwater acoustic environments. Due to the increasing human activity in the ocean, the captured ship noise is usually mixed with or covered by other signals or noise. On the other hand, due to
Ruiping Song +5 more
doaj +1 more source
Extracting effective features from ship-radiated noise is an important way to improve the detection and recognition performance of passive sonar. Complexity features of ship-radiated noise have attracted increasing amounts of attention.
Junxiong Wang, Zhe Chen
doaj +1 more source
3D‐Printed Na3V2(PO4)3 Electrodes for Symmetric Sodium‐Ion Batteries
Vat photopolymerization 3D printing is used to fabricate current collector‐free Na3V2(PO4)3 (NVP) electrodes with complex lattice geometries. After thermal postprocessing, the printed electrodes operate reversibly as both positive and negative electrodes in a symmetric sodium‐ion battery.
Ana C. Martinez +12 more
wiley +1 more source
Spectral‐Resolved Light at Night: TEMPO Observations and Background Correction
Abstract Artificial Light at Night (ALAN) poses risks to public health and ecosystems. While long‐term remote sensing has tracked global nighttime light, spectrally resolved light at night (spectral light at night (SLAN)) data from geostationary orbit only became available with NASA's Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission. Its
Zhixin Xue +7 more
wiley +1 more source
Feature selection and fusion in ship radiated noise-based underwater target recognition have remained challenging tasks. This paper proposes a novel feature extraction method based on multi-dimensional feature selection and fusion. Redundant features are
Zhongxiang Zheng, Peng Liu
doaj +1 more source
A Top‐Down View of Global and Regional Carbon Budgets From an Ensemble of Atmospheric Inversions
Abstract Atmospheric inversions provide surface CO2 flux estimates based on in situ observed atmospheric CO2 mole fractions or satellite‐based column average CO2 (XCO2). Here, we provide a detailed assessment of 14 atmospheric CO2 inversions included in the Global Carbon Budget (GCB2024).
A. M. van der Woude +49 more
wiley +1 more source
Abstract Monitoring data are critical for understanding volcanic unrest and eruption, but they often lack the ability to constrain the pre‐eruptive magma processes. As such, an increasing number of studies couple monitoring data with petrological tools to obtain insights into the causes and durations of magmatic processes. The 2018–2020 eruption of the
Karoline Brückel +8 more
wiley +1 more source
An investigation into inconsistencies between theoretical predictions and microphone array measurements of railway rolling noise [PDF]
Theoretical models, such as TWINS, and microphone array measurements have been widely used to gain better understanding of rolling noise. However, the array measurements are often inconsistent with the TWINS predictions and give less prominence to the ...
Kitagawa, Toshiki
core
Abstract High‐latitude clouds, present over the Arctic Ocean, the Southern Ocean and the Antarctic continent, are very often mixed‐phase clouds (MPCs), that is, composed of both supercooled liquid droplets and ice crystals. Despite being essential for the climate of the poles, they remain a major modeling challenge for climate models. In this study, we
Lea Raillard +3 more
wiley +1 more source
Feature Extraction Method for Ship-Radiated Noise Based on Extreme-point Symmetric Mode Decomposition and Dispersion Entropy [PDF]
175-183A novel feature extraction method for ship-radiated noise based on extreme-point symmetric mode decomposition (ESMD) and dispersion entropy (DE) is proposed in the present study.
Yang, Hong, Zhao, Ke, Li, Guohui
core

