Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches
Xi Huang, Wei Long Ng, Wai Yee Yeong
Topics & Concepts
NozzleRandom forestDecision treeSupport vector machineSubstrate (aquarium)Artificial intelligenceMachine learningTree (set theory)Linear regressionAlgorithmComputer scienceMicrofluidicsProcess (computing)Biological systemMaterials scienceMathematicsSimulationMechanical engineeringNanotechnologyEngineeringMathematical analysisBiologyOceanographyGeologyOperating system3D Printing in Biomedical ResearchMicrofluidic and Bio-sensing TechnologiesInnovative Microfluidic and Catalytic Techniques Innovation