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Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...
4 天on MSN
Explainable AI supports improved nickel catalyst design for converting carbon dioxide into ...
The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...
Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...
The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...
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