首页|Studies from Defence Institute of Advanced Technology Reveal New Findings on Mac hine Learning (Machine Learning-based Prediction and Experimental Validation of Electrospun Pvdf Fibers: Unraveling the Dynamics and Control of the B-phase)
Studies from Defence Institute of Advanced Technology Reveal New Findings on Mac hine Learning (Machine Learning-based Prediction and Experimental Validation of Electrospun Pvdf Fibers: Unraveling the Dynamics and Control of the B-phase)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Pune, India, by NewsRx journalists, research stated, “The piezoelectric characteristic s of polyvinylidene fluoride (PVDF) result from the all-trans configuration of p olymer chains within the beta-phase, predominantly achieved through the electros pinning technique. In this paper, the prediction of the beta-phase in PVDF films produced via electrospinning is investigated using ensemble learning methods su ch as AdaBoost and random forest.”
PuneIndiaAsiaCyborgsEmerging Tec hnologiesMachine LearningDefence Institute of Advanced Technology
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