Subterranean Mine Inspection Using the Prometheus Re‐Configurable Drone
ABSTRACT This paper describes the design, development, and real‐world testing of an autonomous drone for subterranean exploration, known as “Prometheus.” Driven by requirements from industry that the drone be able to be deployed through areas of restricted access, Prometheus was designed to be directly deployed through a 150 mm aperture.
Liam Brown +8 more
wiley +1 more source
Predictive engine model incorporating physics based model estimation and machine learning. [PDF]
Jung JS, Son C, Rimell A, Clarkson RJ.
europepmc +1 more source
Progress of MXenes‐based responsive materials for soft sensors and actuators
MXene, a promising 2D material, excels at mimicking human sensing and feedback system, making it ideal for intelligent robots. This review first covers its structure, properties, and synthesis. It then summarizes recent MXene‐based sensors and actuator.
Peidi Zhou +10 more
wiley +1 more source
Design of a Modularized IoT Multi-Functional Sensing System and Data Pipeline for Digital Twin-Oriented Real-Time Aircraft Structural Health Monitoring. [PDF]
Guo S +4 more
europepmc +1 more source
Software to Support Remote Sensing of River Discharge Based on Critical Flow Theory
ABSTRACT Water resource management requires accurate observations of streamflow but standard field methods for measuring river discharge (Q$$ Q $$) can be costly and hazardous for equipment and personnel. Remote sensing has become a viable alternative, but many image‐based techniques require field data for calibration, and depth and velocity can seldom
Carl J. Legleiter, Inhyeok Bae
wiley +1 more source
Simulation of aircraft flights with turbulence and icing conditions. [PDF]
Dampeyrou C +3 more
europepmc +1 more source
Contrail formation for aircraft with hydrogen combustion – Part 2: Engine-related aspects [PDF]
Josef Zink, Simon Unterstraßer
openalex +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
Aircraft emissions of ultrafine particles characterized by real-world near runway measurements. [PDF]
Maes J +4 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

