An In-Depth Review on Sensing, Heat-Transfer Dynamics, and Predictive Modeling for Aircraft Wheel and Brake Systems. [PDF]
Ramachandra LS +2 more
europepmc +1 more source
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
The use of multi-sensor drone data for the development and validation of methods to track and characterize marine animals. [PDF]
Sexton KJ +5 more
europepmc +1 more source
Using time‐series remote sensing to identify and track individual bird nests at large scales
Time‐series airborne imagery can potentially track individuals over time to collect information beyond one‐off counts. Using weekly UAS‐based imagery of wading bird colonies, we develop an automated approach to identifying nests. Our algorithmic approach detected 68–74% of known nests and exhibited similar performance to human review of imagery ...
S. K. Morgan Ernest +6 more
wiley +1 more source
AI based decision-making system for tooling design of aircraft product assembly with developed knowledge retrieval algorithm. [PDF]
Miah MH +7 more
europepmc +1 more source
Modelling forest dynamics using integral projection models and repeat lidar
Forests are facing increasing pressure from climate change and disturbance, yet linking individual tree trajectories to whole‐forest outcomes remains a major challenge. Our study integrates repeat airborne lidar with an Integral Projection Model to analyse demographic processes at the landscape scale.
Alice Rosen +9 more
wiley +1 more source
Monitoring Cross-Border Dissemination of Antimicrobial Resistance (AMR) via Air Travel to Saudi Arabia: Formulation of Monitoring Strategies to Mitigate AMR Concerns. [PDF]
Wang C +5 more
europepmc +1 more source
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity +8 more
wiley +1 more source
Interpretable Taxi-Out Time Prediction of Departure Flights Using Stacking Ensemble Learning and SHAP Analysis. [PDF]
Wu T +5 more
europepmc +1 more source
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin +5 more
wiley +1 more source

