Results 151 to 160 of about 525,446 (285)
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Phase shift optimization in reconfigurable intelligent surface-assisted UAV in hierarchical aerial computing networks. [PDF]
Diaa B +3 more
europepmc +1 more source
This study develops sustainable MgO–C refractories using recycled materials and eco‐friendly fructose–tannin binders. The enhanced performance of citric acid as a cross‐linker and functional additives on mechanical and thermomechanical properties was examined. Characterization included strength tests, immersion trials, and microstructural and inclusion
Dinesh K. Gunasekar +7 more
wiley +1 more source
A hybrid machine learning framework for offline signature verification using gray wolf optimization. [PDF]
Rathore NC +4 more
europepmc +1 more source
This study investigates how tramp elements from increased scrap usage influence phase transformations in low‐alloyed steel. Combining dilatometry and microscopy reveal that tramp elements delay transformations, reduce critical cooling rates and increase hardenability.
Lukas Hatzenbichler +5 more
wiley +1 more source
Embodying physical computing into soft robots. [PDF]
Wang J, Zhou Z, Kahak A, Li S.
europepmc +1 more source
Towards implementing robust geometric computations
Hoffmann, Christoph M. +2 more
openaire +3 more sources
Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May +9 more
wiley +1 more source
A geometric graph-based deep learning model for drug-target affinity prediction. [PDF]
Rana MM, Mukta FT, Nguyen DD.
europepmc +1 more source
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source

