首页|Researcher at Department of Chemical Engineering Details Research in Machine Lea rning (Application of Machine Learning Models in Coaxial Bioreactors: Classifica tion and Torque Prediction)
Researcher at Department of Chemical Engineering Details Research in Machine Lea rning (Application of Machine Learning Models in Coaxial Bioreactors: Classifica tion and Torque Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingoriginating from Toronto, Canada, by NewsRx correspondents, research stated, “Coaxial bioreactors areknown for e ffectively dispersing gas inside non-Newtonian fluids. However, due to their des ign complexity,many aspects of their design and function, including the relatio nship between hydrodynamics and bioreactorefficiency, remain unexplored.”
Department of Chemical EngineeringToro ntoCanadaNorth and Central AmericaComputational Fluid DynamicsCyborgsE merging TechnologiesFluid MechanicsMachine Learning
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