Results 181 to 190 of about 50,488 (298)

From 0D to 3D liquid crystal elastomers architectures: Fabrications and applications

open access: yesResponsive Materials, EarlyView.
This review presents a dimension‐oriented overview of liquid crystal elastomers (LCEs), highlighting their molecular alignment, fabrication strategies, and programmable deformations from 0D particles to 3D architectures. Emphasis is placed on how dimensionality guides design principles, enables diverse actuation modes, and bridges fundamental ...
Mingxuan Liu   +8 more
wiley   +1 more source

Mapping River Bed Topography in Whitewater Rapids Using Bathymetric LiDAR

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Bathymetric LiDAR captures river topography efficiently for clear and shallow water, but for mountain rivers, whitewater rapids still pose challenges. This study proposes a novel method to enable the extraction of bottom returns specifically in turbulent whitewater sections.
Jan Rhomberg‐Kauert   +5 more
wiley   +1 more source

Comparison of Conventional, Rake, and Sonar‐Based Biophysical Habitat Measurements in a Shallow Ontario River

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Knowledge of habitat availability is critically important for the management and recovery of freshwater species. Quantifying habitat availability often requires fine‐scale sampling at point‐based locations across a large geographic extent, which can be laboursome.
Karl A. Lamothe   +2 more
wiley   +1 more source

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan   +5 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

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