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This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.
The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.
The invention ensures post-validation calibrated physics system predictions remain within predetermined model validation domain boundaries.
The vast majority of energy conversion technologies and industrial processes depend on heat exchangers for transferring heat between fluids.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.