31 - 40 of 48 Results
In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.
Efficient CO2 capture using deep eutectic solvents with modular, scalable membrane contactors.
This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.
This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.
Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.
This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.
An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.