Predicting copper leaching from slag: an interpretable machine learning approach under oxidative sulfuric acid conditions. [PDF]
RSC AdvKim SJ +5 more
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Editorial: Applications of metabolomics in the formation of food flavor. [PDF]
Front NutrJin W, Jiang P, Sun X.
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Logistics equipment condition monitoring and prediction based on digital twin and machine learning. [PDF]
Sci RepHan F, Liu L, Sun J.
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Using Sentinel-1 satellite imagery to quantify oil palm cultivation: A case study from Cameroon. [PDF]
PLoS OneChalmers C +4 more
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Multiple machine learning algorithms for lithofacies prediction in the deltaic depositional system of the lower Goru Formation, Lower Indus Basin, Pakistan. [PDF]
Sci RepSaleem MA +4 more
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A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarks. [PDF]
Sci RepRaghavendran CV +3 more
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Evaluation of structural and thermal performance of polystyrene integrated cross laminated timber panels. [PDF]
Sci RepLakot Alemdağ E +10 more
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Application of Seismic Sensors in Measurement While Drilling. [PDF]
Sensors (Basel)Khanal M +5 more
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Predicting the Lifespan of Twisted String Actuators Using Empirical and Hybrid Machine Learning Approaches. [PDF]
Sensors (Basel)Nguyen H, Eang C, Lee S.
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