Development of 4D printing and its performance testing methods
This paper reviews the molding methods of 4D printing and its applications in various fields, with emphasis on 4D printing performance testing methods. Abstract 4D printing is a cutting‐edge additive manufacturing technology that introduces the time dimension, allowing printed objects to have dynamic, changeable properties, functions or shapes ...
Guiwei Li +8 more
wiley +1 more source
Integration of Physical Features and Machine Learning: CSF-RF Framework for Optimizing Ground Point Filtering in Vegetated Regions. [PDF]
Zhang S, Qu C, Wu Z, Wang W.
europepmc +1 more source
ABSTRACT Digital networks are virtual representations of freshwater systems that provide important inputs to, and mapping of, river classifications, simulation models, and quantitative data analyses for policy, planning, and management. Strahler order has often been used to characterize network configuration and as a proxy indicator of river channel ...
Doug Booker +3 more
wiley +1 more source
A comparative study of loss functions and attention mechanisms in landslide semantic segmentation using U-Net. [PDF]
Hegde VB +6 more
europepmc +1 more source
Mapping River Bed Topography in Whitewater Rapids Using Bathymetric LiDAR
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
Hourly potential light availability maps at 10 m resolution over Switzerland. [PDF]
Webster C +5 more
europepmc +1 more source
The abundance of herbaceous vegetation in grassy ecosystems—which cover >25% of the world's land surface—is highly variable and impacts key ecological processes including carbon sequestration and support for grazing wildlife and livestock. Here, we present a method for using high‐resolution, UAV‐borne Light Detection and Ranging (LiDAR) to estimate ...
Tyler C. Coverdale +3 more
wiley +1 more source
Simulation study of a 386.4 MW mountain photovoltaic power plant: a case study. [PDF]
Ma J +5 more
europepmc +1 more source
DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken +4 more
wiley +1 more source
An improved grey wolf optimizer with multi-stage differentiation strategies coverage in three-dimensional wireless sensor network. [PDF]
Liu Z, Ou Y, Wang S.
europepmc +1 more source

