Results 101 to 110 of about 1,128,000 (254)
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning
The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley +1 more source
DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification
Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance.
Lutvi Murdiansyah Murdiansyah +4 more
doaj +1 more source
Compressive Sensing Multiplicative Antenna Array
Data underpinning Abassi, M., Fusco, V., and Zelenchuk, D. in ' Compressive Sensing Multiplicative Antenna Array' IEEE Transactions on Antennas and Propagation, 2018, Vol 66, Issue ...
School of Electronics, Electrical Engineering and Computer Science +1 more
core +1 more source
Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Distributed cooperative spectrum sensing based on consensus optimization
A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of ...
ZENG Fan-zi +3 more
doaj +2 more sources
Feasibility and Limitations of the Advanced Replica Process for Bioactive Glasses
Periodic 3D‐printed Kelvin‐cell templates enable a controlled advanced replica process for fabricating highly porous glass lattices. Across P45K9, 45S5, and 13–93, material‐dependent differences in coating, burnout, and shrinkage lead to distinct strut morphologies, while comparable final porosities of 83%–88% are retained.
Swantje Funk +4 more
wiley +1 more source
Compressed Sensing with nonlinear observations and related non-linear optimisation problems
Non-convex constraints have recently proven a valuable tool in many optimisation problems. In particular sparsity constraints have had a significant impact on sampling theory, where they are used in Compressed Sensing and allow structured signals to be ...
Blumensath, Thomas
core +1 more source
A Novel Approach to Estimate the Transition Temperature via Dynamic Nanoindentation
A new dynamic nanoindentation‐based method was developed that uses the stiffness ratio as an indicator of the elastic–plastic deformation contributions at different temperatures. The approach successfully identified transition temperatures in ferritic steel and distinguished them from continuously ductile austenitic steel.
Stefan Zeiler +4 more
wiley +1 more source
Kernel sparse tracking with compressive sensing
Online tracking is a challenging task to develop effective and efficient models to account for appearance change. However, most tracking algorithms only consider the holistic or local information and do not make full use of the appearance information. In
Qingsen Yan, Linsheng Li
doaj +1 more source

