Results 221 to 230 of about 14,550 (304)
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
Real Robotic Surgery: A New Paradigm of Surgical Approach. [PDF]
Pascotto B, Azagra JS.
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
Ubiquity of Aviation Ultrafine Particles and Lubrication Oil Compounds Near Zurich Airport. [PDF]
Tinorua S +11 more
europepmc +1 more source
Accounting for animal movement during aerial imaging surveys
Animals are not stationary during aerial surveys; if their movements are related to the movement of the aerial platform, then bias can be introduced into subsequent population count estimates. We sought to establish a framework for assessing the impacts of animal movement on count error and platform bias by comparing aggregated counts and relative ...
Rowan L. Converse +5 more
wiley +1 more source
A deep learning framework for predicting aircraft trajectories from sparse satellite observations. [PDF]
Shan R +7 more
europepmc +1 more source
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves +4 more
wiley +1 more source
Vision-Based Vehicle State and Behavior Analysis for Aircraft Stand Safety. [PDF]
Tang K +5 more
europepmc +1 more source
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre +6 more
wiley +1 more source

