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Titlebook: Microbial Data Intelligence and Computational Techniques for Sustainable Computing; Aditya Khamparia,Babita Pandey,Deepak Gupta Book 2024

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發(fā)表于 2025-3-21 16:10:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing
編輯Aditya Khamparia,Babita Pandey,Deepak Gupta
視頻videohttp://file.papertrans.cn/633/632930/632930.mp4
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
叢書名稱Microorganisms for Sustainability
圖書封面Titlebook: Microbial Data Intelligence and Computational Techniques for Sustainable Computing;  Aditya Khamparia,Babita Pandey,Deepak Gupta Book 2024
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
關(guān)鍵詞Microbial data; Plant Microbe; Computational techniques; Human Microbiome; Data Mining
版次1
doihttps://doi.org/10.1007/978-981-99-9621-6
isbn_softcover978-981-99-9623-0
isbn_ebook978-981-99-9621-6Series ISSN 2512-1901 Series E-ISSN 2512-1898
issn_series 2512-1901
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Book 2024ain 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 sus
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The Contribution of Artificial Intelligence to Drug Discovery: Current Progress and Prospects for tents and engineering drugs with heightened efficacy and reduced toxicity. The trajectory of AI in drug discovery appears promising. Its influence is poised to intensify, driving expedited drug discovery, refining the efficiency of the developmental journey, and hastening the availability of novel treatments for patients.
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S. S. Ittannavar,B. P. Khot,Vibhor Kumar Vishnoi,Swati Shailesh Chandurkar,Harshal Mahajan clinicians, surgeons and researchers with an interest in kidney cancer. The volume reviews new data about risk factors for the disease, profiles the new staging system for renal cell carcinoma (RCC), highlights our current understanding of familial syndromes of RCC and their molecular genetics, and
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The Contribution of Artificial Intelligence to Drug Discovery: Current Progress and Prospects for tlerate the pinpointing of new drugs and improve the effectiveness and efficiency of the drug development process. Across various stages of drug discovery, AI methodologies are proving instrumental:.While AI’s integration into drug discovery remains relatively nascent, it holds the potential to revol
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