A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Blood type classification, a fundamental aspect of medical diagnosis is traditionally and manually administered by registered skilled medical technologists. In this study, the proponent developed an ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for ...

Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for wheat, could help reduce nitrogen fertilization. This holobiont principle ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting diode (OLED) materials used in next-generation display and lighting ...

We aim to maximize the sum spectral efficiency by jointly optimizing the antenna selection and precoding design. To alleviate the fronthaul overhead and enable real-time network operation, we propose ...