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Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Ductility demand estimation of high-rise steel special moment frames due to structure-pile-soil interaction
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran
Effects of different washing and precipitating solutions on sugar content, cytotoxicity, chemical structure and prebiotic potential of pistachio hull polysaccharide
An eco-friendly ECC with high slag and polypropylene fiber content for high-tensile strain applications
An eco-friendly ECC with high slag and polypropylene fiber content for high-tensile strain applications
An eco-friendly ECC with high slag and polypropylene fiber content for high-tensile strain applications