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您的检索式：作者名="M.Senthilkumar"
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| 1 | Synthesis,characterization and catalytic activity studies on cordierite honeycomb coated with ZrO2 based solid super acids显示文摘 | S.Z Mohamed Shamshuddin M.Shyam Sundar N.Thimmaraju Venkatesh G.Vatsalya M.Senthilkumar | | 0，，9： | 1 |
| 2 | 细旦聚酯长丝纱线及其用于运动服时的织物水分传输特性显示文摘选用纱线总线密度为16.7tex,长丝根数分别为34、48、108、144和288的细旦聚酯纱线,研究聚酯长丝线密度对其纱线芯吸性能的影响以及纱线线密度对其织物芯吸行为的影响。 | S.M.Udaya Krithika C.Prakash M.B.Sampath M.Senthilkumar 康帅(译) | 2021 | 国际纺织导报2021，49，8： | 0 |
| 3 | XGBRS Framework Integrated with Word2Vec Sentiment Analysis for Augmented Drug Recommendation显示文摘Machine Learning is revolutionizing the era day by day and the scope is no more limited to computer science as the advancements are evident in the field of healthcare.Disease diagnosis,personalized medicine,and Recommendation system(RS)are among the promising applications that are using Machine Learning(ML)at a higher level.A recommendation system helps inefficient decision-making and suggests personalized recommendations accordingly.Today people share their experiences through reviews and hence designing of recommendation system based on users’sentiments is a challenge.The recommendation system has gained significant attention in different fields but considering healthcare,little is being done from the perspective of drugs,disease,and medical recommendations.This study is engrossed in designing a recommendation system that is based on the fusion of sentiment analysis and radiant boosting.The polarity of the sentiments is analyzed through user reviews and the processed data is fed into the Extreme Gradient Boosting(XGBOOST)framework to generate the drug recommendation.To establish the applicability of the concept a comparative study is performed between the proposed approach and the existing approaches. | Shweta Paliwal Amit Kumar Mishra Ram Krishn Mishra Nishad Nawaz M.Senthilkumar | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 4 | 棉氨弹性添纱针织物的动态弹性性能显示文摘研究了热定型和热收缩温度对棉氨添纱针织物的动态弹性性能的影响。为了避免在研究动态弹性回复(DER)中产生的直接作用,利用动态弹性回复系数(DERR)分析在线圈横列和线圈纵行上的综合的直接动态弹性回复(DER)值。热定型温度会影响织物的DER值,但是热收缩温度却不会对其有影响。所以,对于不同组织的针织物,有必要优化其热定型温度,从而使织物的动态回复性能更好,以有助于设计出弹性更好的服装,满足最终需求。 | M.Senthilkumar N.Anbumani 李丽敏(译) | 2011 | 国际纺织导报2011，39，1： | 0 |
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