Results 301 to 310 of about 1,247,418 (410)
Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley +1 more source
Optimizing predictive maintenance and mission assignment to enhance fleet readiness under uncertainty. [PDF]
O'Neil R, Khatab A, Diallo C.
europepmc +1 more source
We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes +5 more
wiley +1 more source
Emerging Materials for Durable and Sustainable Design of Aeronautic Structures. [PDF]
Carvalho P, Aguiar-Branco J, Guedes RM.
europepmc +1 more source
Applications of extended reality in pilot flight simulator training: a systematic review with meta-analysis. [PDF]
Somerville A, Joiner K, Lynar T, Wild G.
europepmc +1 more source
A UAV Air Combat Trajectory Prediction Method Based on QCNet
ABSTRACT The Unmanned Aerial Vehicle (UAV) air combat trajectory prediction algorithm facilitates strategic pre‐planning by predicting UAV flight trajectories with high accuracy, thus mitigating risks and securing advantages in intricate aerial scenarios.
Zhang Jiahui, Meng Zhijun, He Jiazheng
wiley +1 more source
Aero-Engine Ablation Defect Detection with Improved CLR-YOLOv11 Algorithm. [PDF]
Liu Y +5 more
europepmc +1 more source
Metric Commonality and its Application in Aircraft Engines
Alissa Friedman
openalex +1 more source
Fixed‐Time Zeroing Neural Dynamics for Adaptive Coordination of Multi‐Agent Systems
ABSTRACT This paper presents an adaptive multi‐agent coordination (AMAC) strategy suitable for complex scenarios, which only requires information exchange between neighbouring robots. Unlike traditional multi‐agent coordination methods that are solved by neural dynamics, the proposed strategy displays greater flexibility, adaptability and scalability ...
Cheng Hua +3 more
wiley +1 more source

