Results 231 to 240 of about 1,019,331 (345)

In‐situ Analysis of Paste Properties in Resonant Acoustic Mixers for Quality Monitoring

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
Quality monitoring is important to ensure manufacturing robustness and achieve consistent properties. For the emerging technology resonant acoustic mixing, this work uses motor data to detect differences in particle content in formulations and variations in powder feedstock properties.
Alexandra Dobbs   +3 more
wiley   +1 more source

MXene‐Based Electromagnetic Attenuation Materials in Microwave and Terahertz Bands

open access: yesRare Metals, EarlyView.
ABSTRACT MXenes exhibit considerable potential for developing high‐performance electromagnetic (EM) shielding and absorption materials operating across microwave and terahertz frequencies, due to their tunable surface chemistry and exceptional charge carrier transport properties.
Guozheng Zhang   +9 more
wiley   +1 more source

Advances in Elemene Nanodelivery Systems: From Material Design to Disease Treatment

open access: yesRare Metals, EarlyView.
ABSTRACT Elemene (ELE) is a bioactive sesquiterpenoid extracted from traditional Chinese herbs, demonstrating broad‐spectrum antitumor, anti‐inflammatory, and analgesic properties with significant therapeutic potential. However, its clinical utility is constrained by inherent physicochemical limitations, including volatility and hydrophobicity, which ...
Xiao Wang   +9 more
wiley   +1 more source

HOWLish: a CNN for automated wolf howl detection

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Automated detection of wolf howls presents a great opportunity for large‐scale passive acoustic monitoring of wolf populations. Here we present HOWLish, a CNN trained for automated wolf howl detection, based on thousands of hours of soundscapes recorded in the wild.
Rafael Campos   +3 more
wiley   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann   +2 more
wiley   +1 more source

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