Results 61 to 70 of about 27,342 (288)
Hybrid Representation of Sensor Data for the Classification of Driving Behaviour
Monitoring driving behaviour is important in controlling driving risk, fuel consumption, and CO2 emissions. Recent advances in machine learning, which include several variants of convolutional neural networks (CNNs), and recurrent neural networks (RNNs),
Michalis Savelonas +5 more
doaj +1 more source
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa +9 more
wiley +1 more source
Camera calibration in wireless multimedia sensor networks
Wireless Multi-media Sensor Networks (WMSNs) have become increasingly popular in recent years, driven in part by the increasing commoditization of small, low-cost CMOS sensors.
Liu, Junbin +9 more
core +1 more source
Vehicle Classification Based on FBG Sensor Arrays Using Neural Networks
This article is focused on the automatic classification of passing vehicles through an experimental platform using optical sensor arrays. The amount of data generated from various sensor systems is growing proportionally every year.
Patrik Kamencay +5 more
core +1 more source
Performance Analysis of Abradable Coating Systems for Aircraft Gas Turbines
Three CoNiCrAlY/YSZ/MgAl2O4 abradable liner configurations on a nickel‐superalloy are evaluated by thermal‐gradient cycling and incursion tests. Laser ablation of the bondcoat and/or Y2O3‐stabilized ZrO2 (YSZ) intermediate layer increases mechanical interlocking and bonding for thick topcoats.
Hanna Heyl +4 more
wiley +1 more source
Smart CMOS image sensor for lightning detection and imaging [PDF]
We present a CMOS image sensor dedicated to lightning detection and imaging. The detector has been designed to evaluate the potentiality of an on-chip lightning detection solution based on a smart sensor.
Goiffon, Vincent +12 more
core +1 more source
Camera‐trapping version 3.0: current constraints and future priorities for development
Camera traps are a widely used tool in wildlife research and conservation, but in situ factors such as theft, poor performance in extreme environments and damage by wildlife may be hindering the effectiveness of the technology.
Paul Glover‐Kapfer +2 more
doaj +1 more source
Semantic Constraint GAN for Person Re-Identification in Camera Sensor Networks
In this paper, we propose a novel data augmentation method named Semantic Constraint Generative Adversarial Network (SCGAN) for person re-identification (Re-ID) in camera sensor networks.
Shuang Liu +3 more
doaj +1 more source
EAGAN: Event‐based attention generative adversarial networks for optical flow and depth estimation
Event camera is a new vision sensor that produces independent asynchronous responses to each pixel's change of illumination intensity. The unique principle of event camera has many advantages over traditional cameras, such as low latency, high temporal ...
Xiuhong Lin +4 more
doaj +1 more source
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source

