首页|Findings from National Institute of Technology Calicut Broaden Understanding of Machine Learning (Unveiling Predictive Insights for Enhanced Performance of Pvdf -based Nanogenerators Via Machine Learning Modeling)
Findings from National Institute of Technology Calicut Broaden Understanding of Machine Learning (Unveiling Predictive Insights for Enhanced Performance of Pvdf -based Nanogenerators Via Machine Learning Modeling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Kerala, Indi a, by NewsRx journalists, research stated, “Triboelectric nanogenerator(TENG) b ased on polyvinylidene fluoride (PVDF) have demonstrated substantial potential i n the domainof mobile energy generation, particularly for self-powering ultra-l ow-voltage microdevices. The currentresearch presents a comparative analysis an d guided-approach study for fabricating PVDFbased TENGwith voltage predictive c apability using predictive machine learning (ML) models.”
KeralaIndiaAsiaCyborgsEmerging T echnologiesMachine LearningNational Institute of Technology Calicut
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