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Titlebook: Advances in Energy Technology; Select Proceedings o Ramesh C. Bansal,Anshul Agarwal,Vinay Kumar Jadoun Conference proceedings 2022 The Edit

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發(fā)表于 2025-3-21 19:33:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Energy Technology
期刊簡(jiǎn)稱Select Proceedings o
影響因子2023Ramesh C. Bansal,Anshul Agarwal,Vinay Kumar Jadoun
視頻videohttp://file.papertrans.cn/148/147955/147955.mp4
發(fā)行地址Presents select proceedings of EMSME 2020.Covers topics such as clean materials, solar energy systems, wind energy systems, power optimization, grid integration of renewable energy.Is useful for resea
學(xué)科分類Lecture Notes in Electrical Engineering
圖書(shū)封面Titlebook: Advances in Energy Technology; Select Proceedings o Ramesh C. Bansal,Anshul Agarwal,Vinay Kumar Jadoun Conference proceedings 2022 The Edit
影響因子This book presents select proceedings of International Conference on Energy, Material Sciences and Mechanical Engineering (EMSME) 2020, held at National Institute of Technology Delhi. Various topics covered in this book include clean materials, solar energy systems, wind energy systems, power optimization, grid integration of renewable energy, smart energy storage technologies, artificial intelligence in solar and wind system, analysis of clean energy material in environment, converter topology, modelling and simulation. This book will be useful for researchers and professionals working in the areas of solar material science, electrical engineering, and energy technologies.
Pindex Conference proceedings 2022
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書(shū)目名稱Advances in Energy Technology影響因子(影響力)




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1876-1100 l be useful for researchers and professionals working in the areas of solar material science, electrical engineering, and energy technologies.978-981-16-1478-1978-981-16-1476-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Concepts in Surgery of the Large Intestine extensively analysed, and the analyses is presented in a critical manner. The advantages and drawbacks associated with each method have been discussed. The effectiveness of each method has been scrutinized by assessing them wrt various performance parameters. Finally, relevant conclusions have been
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Laparoscopic Nissen Fundoplication,ity for identifying and recognizing faces which are surgically altered. Recognition is done by introducing a simple CNN for facial trait extraction which is followed by performing the classification task. Plastic surgery facial dataset is used for training, testing and validating the proposed deep n
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