Results 61 to 70 of about 152,113 (287)
Hybrid Representation of Sensor Data for the Classification of Driving Behaviour
Applied Sciences, 2021 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
Human mobility monitoring in very low resolution visual sensor network [PDF]
, 2014 This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Aghajan, Hamid +13 more
core +3 more sources
Lifetime‐Maximized Strong Barrier Coverage of 3D Camera Sensor Networks
Wireless Communications and Mobile Computing, 2022 Camera sensor networks (CSNs) have advantages on providing the precise and multimedia information for plenty of applications. The high coverage quality of CSNs especially satisfies the monitoring requirements of barrier coverage. In three‐dimensional (3D) application scenarios, the tracking of the potential intruder in the monitored irregular spaces ...
Yi Hong +4 more
openaire +1 more source
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
Advanced Engineering Materials, EarlyView.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
, 2018 Depth from focus (DFF) is one of the classical ill-posed inverse problems in computer vision. Most approaches recover the depth at each pixel based on the focal setting which exhibits maximal sharpness. Yet, it is not obvious how to reliably estimate the
A Thelen +12 more
core +1 more source
Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks [PDF]
, 2018 Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and depth estimation from a single shot.
Gul, M. Shahzeb Khan +1 more
core +2 more sources
Interaction of Ladle Slag With Varying SiO2 Content and Recyclate‐Based MgO–C Refractories
Advanced Engineering Materials, EarlyView.Ladle slags (CaO/Al2O3 = 1) with 1–20 wt% SiO2 were investigated in contact with industrial MgO–C refractories fabricated from fresh magnesia and 50 wt% recyclate. The sessile drop method at 1600°C reveals intensive gas formation, delayed slag infiltration in recyclate‐based samples, and, under high‐SiO2 slag, formation of a dense MgAl2O4‐rich ...
Anton Yehorov +6 more
wiley +1 more source
Sensors, 2015 This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion.
Yanming Chen, Qingjie Zhao
doaj +1 more source
3D Camouflaging Object using RGB-D Sensors
, 2017 This paper proposes a new optical camouflage system that uses RGB-D cameras, for acquiring point cloud of background scene, and tracking observers eyes.
Eshrah, Islam A. +2 more
core +1 more source
Advanced Engineering Materials, EarlyView.Cermets (60 vol.% AISI 316L stainless steel, 40 vol.% recycled MgO), intended for use in aluminum electrolysis, were pre‐oxidized in three furnaces with different heating technologies and subjected to a cryolite corrosion test. The different atmospheres influenced the formation of oxide layers, which in turn affected corrosion resistance and ...
Patricia Kaiser +4 more
wiley +1 more source