Finding Contents or People

Ground Observations and Environmental Covariates Integration for Mapping and Monitoring of Soil Salinity: A Machine Learning-Based Approach
Music Pattern Mining A Machine Learning Approach via Neural Networks and a Music Style Classification Technique
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Advanced modelling and optimization of steam methane reforming: From CFD simulation to machine learning - Driven optimization
Advanced modelling and optimization of steam methane reforming: From CFD simulation to machine learning - Driven optimization
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
A machine learning framework to lanthanide element distribution and predictability from the northwestern Iranian karst bauxite deposits
more-about-GF677
more-about-GF677
more-about-GF677
Functional Cakes: The Effect of Acorn Flour and Hydrocolloids and Emulsifier on Texture, Nutritional and Sensory Properties
Biography