Spline-based feature curves from point-sampled geometry
Joel Daniels+3 more
openalex +2 more sources
On subjective and objective quality evaluation of point cloud geometry [PDF]
Evangelos Alexiou, Touradj Ebrahimi
openalex +1 more source
Differences between laboratory scanner and intra-oral scanner regarding axes and distances of three implants in a curved line when using two types of intra-oral scan bodies: in vitro study. [PDF]
Ben-Izhack G+6 more
europepmc +1 more source
Mechanical models favor a ramp geometry for the Ventura‐pitas point fault, California [PDF]
S. T. Marshall+4 more
openalex +1 more source
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng+7 more
wiley +1 more source
Luminescence lineshapes of nitrogen vacancy center in lonsdaleite and dual structure of diamond/lonsdaleite: a DFT study. [PDF]
Abdelghafar KA, Choi DS, Askar KA.
europepmc +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee+3 more
wiley +1 more source
Material point model and the geometry of the entropy form
Marina Dolfin+2 more
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A metallic implant's higher stiffness compared to the surrounding bone leads to stress shielding problems, causing bone density reduction and bone growth interference in pediatric patients. 3D‐printed triply periodic minimal surface structures present a promising engineering solution.
Ali Ebrahimzadeh Dehaghani+4 more
wiley +1 more source
Prediction of time averaged wall shear stress distribution in coronary arteries' bifurcation varying in morphological features via deep learning. [PDF]
Sarkhosh MH+3 more
europepmc +1 more source