Results 141 to 150 of about 551,871 (267)
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira +4 more
wiley +1 more source
Erratum: Deep learning-based super-resolution method for projection image compression in radiotherapy. [PDF]
Editorial Office.
europepmc +1 more source
Renal Dynamic Image Compression using Singular Value Decomposition. [PDF]
Chaudhary J +4 more
europepmc +1 more source
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert +7 more
wiley +1 more source
Implicit neural image field for biological microscopy image compression. [PDF]
Dai G +12 more
europepmc +1 more source
Lossless Medical Image Compression by Using Difference Transform. [PDF]
Rojas-Hernández R +5 more
europepmc +1 more source
Elinvar Materials: Recent Progress and Challenges
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
Enhancing image compression through a novel Structural Fidelity Weighted Ensemble (SFWE) model. [PDF]
I PSM +5 more
europepmc +1 more source
IMAGE COMPRESSION BASED ON IMPORTANCE USING OPTIMAL MASS TRANSPORTATION MAP. [PDF]
Li Z, An D, Feng Y, Gu X, Xu X, Zhang M.
europepmc +1 more source
Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions
This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley +1 more source

