Results 261 to 270 of about 2,251,696 (313)
Measurements of granular flow dynamics with high speed digital images
Jingeol Lee
openalex +2 more sources
Electrospinning Technology, Machine Learning, and Control Approaches: A Review
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani+5 more
wiley +1 more source
Observation of oral actions using digital image processing system.
Tetsuo Ichikawa+5 more
openalex +2 more sources
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger+6 more
wiley +1 more source
A facile smartphone-based digital image colorimetric sensor for the determination of tetracyclines in water using natural phenolic compounds induced to grow gold nanoparticles. [PDF]
Ponhong K+5 more
europepmc +1 more source
A study on imaging of meridians and acupoints by the use of bi-digital o-ring test(ORT).
Shunrou SHIGEMATU+2 more
openalex +2 more sources
This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon+7 more
wiley +1 more source
Application of Digital Image Correlation for Strain Mapping of Structural Elements and Materials. [PDF]
Bogusz P, Krasoń W, Pazur K.
europepmc +1 more source
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling+7 more
wiley +1 more source