Improved prediction of settling behavior of solid particles through machine learning analysis of experimental retention time data

Keyphrases

• Retention Time 100%
• Solid Particles 100%
• Improved Prediction 100%
• Time-varying Data 100%
• Machine Learning Analysis 100%
• Settling Behavior 100%
• Inertial Particles 100%
• Froude number 100%
• Stratified Interface 100%
• Steady State 50%
• Machine Learning 50%
• Delay Time 50%
• Environmental Applications 50%
• Particle number 50%
• Machine Learning Approach 50%
• Engineering Application 50%
• Particle Motion 50%
• Valuable Insight 50%
• Common Phenomena 50%
• Interfacial Layer 50%
• Reynolds number 50%
• Dimensionless Parameters 50%
• Symbolic Regression 50%
• Novel Machine 50%
• Fluid Properties 50%
• Stratified Layer 50%
• New Correlation 50%
• Particle Properties 50%
• Machine Learning Feature Selection 50%
• Settling Test 50%
• Particle Settling 50%

Engineering

• Retention Time 100%
• Solid Particle 100%
• Froude Number 100%
• Symbolics 50%
• Data Show 50%
• Feature Extraction 50%
• Delay Time 50%
• Engineering Application 50%
• Interfacial Layer 50%
• Reynolds' Number 50%
• Dimensionless Parameter 50%
• Learning Approach 50%
• Fluid Property 50%

Chemical Engineering

• Learning System 100%