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Titlebook: Nanostructured Materials for Electronic Nose; Nirav J. Joshi,Sachin Navale Book 2024 The Editor(s) (if applicable) and The Author(s), unde

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发表于 2025-3-21 16:34:48 | 显示全部楼层 |阅读模式
书目名称Nanostructured Materials for Electronic Nose
编辑Nirav J. Joshi,Sachin Navale
视频video
概述Highlights recent advances of electronic-nose (E-nose) technology based on advanced nanostructured materials.Includes information on each aspect of novel materials and their sensing mechanisms.Discuss
丛书名称Advanced Structured Materials
图书封面Titlebook: Nanostructured Materials for Electronic Nose;  Nirav J. Joshi,Sachin Navale Book 2024 The Editor(s) (if applicable) and The Author(s), unde
描述.This book presents recent developments and fascinating attributes of electronic-nose (E-nose) technology based on advanced nanostructured materials that are compatible with modern semiconductor fabrication technology. The new trend in these nanostructured materials includes metal oxide nanostructures, 2D materials, graphene, and other carbon-based nanostructures. These versatile materials with remarkable electronic, mechanical, electrical, thermal properties, and potential e-nose in a wide range of fields are discussed in the book. Close attention is given to problems connected with stability, selectivity, and functionalizing of e-nose devices and deposited materials. The field of sensors is indeed in fast and consistent growth.  This book consolidates information on each and every aspect of these novel materials, their gas sensing mechanisms, engineering, and e-nose devices covering the entire spectrum of up-to-date literature citations, current market, and patents in a very detailed manner. Moreover, in the past few years, tremendous advances have been made in experimental and theoretical studies on various properties of these materials. In summary, this book makes an attempt to
出版日期Book 2024
关键词2D Materials; Cancer Diagnosis; Metal Oxide Nanostructures; Machine Learning (ML); E-Nose; Carbon Nanotub
版次1
doihttps://doi.org/10.1007/978-981-97-1390-5
isbn_softcover978-981-97-1392-9
isbn_ebook978-981-97-1390-5Series ISSN 1869-8433 Series E-ISSN 1869-8441
issn_series 1869-8433
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-21 20:39:06 | 显示全部楼层
Electronic Nose Using Machine Learning Techniques,nce machine learning models like XGBoost, GBDT, etc. work. As well, basic models like SVM, RF, ANN, etc. can be used to analyze data obtained from above-mentioned sectors. We will also discuss how machine learning algorithms are helpful optimum output and discuss how in various fields they are used.
发表于 2025-3-22 02:20:18 | 显示全部楼层
Nanostructured Metal Oxide for High-Performance Electronic Nose,eshness of food, and diagnosing diseases. Furthermore, we have discussed the potential challenges and prospects for metal oxide-based E-noses. It is evident from our review that nanostructured metal oxides hold great promise as potential candidates for assembling E-noses that exhibit excellent gas-sensing capabilities.
发表于 2025-3-22 04:37:30 | 显示全部楼层
发表于 2025-3-22 11:14:38 | 显示全部楼层
Trends in the Development of Electronic Noses Based on Carbon Nanotubes, the present work, recent studies on CNT-based electronic noses are comparably summarized. Also, the developments in some CNT-based composite materials for electronic noses are reviewed. Finally, the challenges and future perspectives are discussed to comprehend the operational utilization of CNT-based materials.
发表于 2025-3-22 15:20:45 | 显示全部楼层
Nirav J. Joshi,Sachin NavaleHighlights recent advances of electronic-nose (E-nose) technology based on advanced nanostructured materials.Includes information on each aspect of novel materials and their sensing mechanisms.Discuss
发表于 2025-3-22 18:55:05 | 显示全部楼层
978-981-97-1392-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-23 05:07:58 | 显示全部楼层
Advanced Structured Materialshttp://image.papertrans.cn/n/image/661013.jpg
发表于 2025-3-23 07:30:09 | 显示全部楼层
https://doi.org/10.1007/978-981-97-1390-52D Materials; Cancer Diagnosis; Metal Oxide Nanostructures; Machine Learning (ML); E-Nose; Carbon Nanotub
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