National Institute of Technology Researchers Discuss Findings in Machine Learnin g (Machine learning prediction of the unconfined compressive strength of control led low strength material using fly ash and pond ash)
National Institute of Technology Researchers Discuss Findings in Machine Learnin g (Machine learning prediction of the unconfined compressive strength of control led low strength material using fly ash and pond ash)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of the National I nstitute of Technology by NewsRx editors, research stated, “The sustainableuse of industrial byproducts in civil engineering is a global priority, especially i n reducing the environmentalimpact of waste materials. Among these, coal ash fr om thermal power plants poses a significant challengedue to its high production volume and potential for environmental pollution.”
Key words
National Institute of Technology/Cyborg s/Emerging Technologies/Machine Learning
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