Results 211 to 220 of about 14,550 (304)

Particle Filtering-Based In-Flight Icing Detection for Unmanned Aerial Vehicles. [PDF]

open access: yesSensors (Basel)
Souanef T   +4 more
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño   +6 more
wiley   +1 more source

Design and Testing of a Minimal Configuration Underwater Micro‐Glider: Automating Lake and Reservoir Monitoring

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Uncrewed underwater vehicles (UUVs) have transformed oceanographic research through autonomous data gathering. Similarly, lake and other aquatic research can potentially be automated and transformed. However, UUVs would need to be smaller, lighter, less complex, and cheaper than currently available to make them more practical and user‐friendly
James M Rand   +3 more
wiley   +1 more source

A new type of aircraft icing detection system. [PDF]

open access: yesSci Rep
Renno NO   +12 more
europepmc   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin   +4 more
wiley   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy