Results 121 to 130 of about 22,509,590 (296)
Aim: It is not easy to differentiate Brucella sacroiliitis from axial spondyloarthritis (axSpA)-related sacroiliitis using conventional magnetic resonance imaging (MRI). Histogram analysis, a new technique, is considered useful for differential diagnosis.
Emine Yıldırım Uslu +6 more
doaj +1 more source
This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji +3 more
wiley +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
Histogram analysis results of flower.
(a) Histogram of red channel of flower; (b) Histogram of green channel of flower; (c) Histogram of blue channel of flower; (d) Histogram of red channel of cipher; (e)Histogram of green channel of cipher (f)Histogram of blue channel of cipher.
Xiao Zhang (152326) +6 more
core +1 more source
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
Ceramic tile color difference classification system based on color histogram
According to the ceramic tile color difference classification detection problem, this paper presents a method for color difference based on Histogram statistical values.
Pi, Zhigang +3 more
core
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Histogram analysis results of mountain.
(a) Histogram of red channel of mountain; (b) Histogram of green channel of mountain; (c) Histogram of blue channel of mountain; (d) Histogram of red channel of cipher; (e)Histogram of green channel of cipher (f)Histogram of blue channel of cipher.
Xiao Zhang (152326) +6 more
core +1 more source

