Finding Contents or People

A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
Investigating the concomitant production of carotenoids and lipids by the yeast Rhodosporidium babjevae using sugarcane bagasse hydrolysate or corn steep liquor
Torsional strengthening of T-shaped RC members with FRP composites using EBROG method: Experimental investigation and analysis
Torsional strengthening of T-shaped RC members with FRP composites using EBROG method: Experimental investigation and analysis
Torsional strengthening of T-shaped RC members with FRP composites using EBROG method: Experimental investigation and analysis
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
Neural network design for data-driven prediction of target geometry for an aerodynamic inverse design algorithm
Visual tracking of real-time freshness of fish using an agar hydrogel colorimetric indicator containing CuNPs/NCQDs
Development of an active agar aerogel with dual antioxidant and UV-blocking activities using chlorine-doped graphene quantum dots
Microencapsulation of tomato oleoresin using tomato waste fibre and its application for orange juice fortification
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