书目名称 | Microbial Data Intelligence and Computational Techniques for Sustainable Computing |
编辑 | Aditya Khamparia,Babita Pandey,Deepak Gupta |
视频video | |
概述 | Discusses computer-assisted tools for visualization and representation of complex microbial data.Provides information on applying machine and deep learning, and sensor-based techniques for microbial a |
丛书名称 | Microorganisms for Sustainability |
图书封面 |  |
描述 | .This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques...Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer sc |
出版日期 | Book 2024 |
关键词 | Microbial data; Plant Microbe; Computational techniques; Human Microbiome; Data Mining |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-99-9621-6 |
isbn_softcover | 978-981-99-9623-0 |
isbn_ebook | 978-981-99-9621-6Series ISSN 2512-1901 Series E-ISSN 2512-1898 |
issn_series | 2512-1901 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |