Microbial Data Intelligence and Computational Techniques for Sustainable Computing
暫譯: 微生物數據智慧與可持續計算的計算技術
Khamparia, Aditya, Pandey, Babita, Pandey, Devendra Kumar
- 出版商: Springer
- 出版日期: 2025-04-02
- 售價: $6,970
- 貴賓價: 9.5 折 $6,622
- 語言: 英文
- 頁數: 391
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819996236
- ISBN-13: 9789819996230
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相關主題
商品描述
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 science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.
商品描述(中文翻譯)
這本書提供有關與植物微生物、人類微生物等相關的微生物數據的智能和計算技術的信息。本書的主要重點是提供有關使用智能計算技術構建智能可持續解決方案的見解，以應用於微生物技術。
微生物在自然界中無處不在，它們之間的相互作用對於在多樣化棲息地中的定殖至關重要。可持續計算的核心理念是部署算法、模型、政策和協議，以提高能源效率和資源管理，增強生態平衡、生物維持及其他社會背景下的服務。本書中的章節探討了傳統方法以及最近認可的高通量技術，這些技術對於生產性農業生態系統以滿足不斷增長的全球人口至關重要。本書對於教師、研究人員、微生物學家、計算生物信息科學家、植物和環境科學家以及對全球環境管理感興趣的人士都具有吸引力。本書也可作為計算機科學、生物醫學、農業、人類科學、林學、生態學、土壤科學和環境科學的本科生和研究生的進階教科書材料，並且對政策制定者也有參考價值。
作者簡介
Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of a decade. He is currently working as an assistant professor and coordinator of Department of Computer Science, Babasaheb Bhimrao Ambedkar University, India. He received his Ph.D. degree from Lovely Professional University, Punjab in May 2018. He has completed his M. Tech. from VIT University and B. Tech. from RGPV, Bhopal. He has completed his PDF from UNIFOR, Brazil. He has more than 100 research papers along with book chapters including more than 20 papers in top journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited a cumulative of 11 books. His research interest includes machine learning, deep learning, educational technologies and computer vision.
Dr. Deepak Gupta received a B.Tech. degree in 2006 from the Guru Gobind Singh Indraprastha University, India. He received M.E. degree in 2010 from Delhi Technological University, India and Ph. D. degree in 2017 from Dr. APJ Abdul Kalam Technical University, India. He has completed his Post-Doc from Inatel, Brazil. With 13 years of rich expertise in teaching and two years in the industry, he focuses on rational and practical learning. He has contributed massive literature to the fields of intelligent data analysis, biomedical engineering, artificial intelligence, and soft computing. He has served as editor-in-chief, guest editor, associate editor in various reputed journals. He has actively been organizing various reputed international conferences. He has authored/edited 43 books. He has published 200 scientific research publications including more than 100 SCI Indexed Journals.
Dr. Babita Pandey working as an associate professor in Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India. Her research interests include biomedical engineering, e-learning, computational intelligence andsecurity systems. She has published more than 100 publications and conferences including more than 40 SCI Indexed Journals.
Dr. Devendra Kumar Pandey is currently working as a professor at Lovely Professional University, India. He obtained his Ph.D. in biochemical engineering from Indian Institute of Technology, India. His main area of interest related to pharmacology and toxicology, plant and soil sciences, and molecular sciences. His area of expertise includes plant biotechnology, plant-microbe interaction, chromatography techniques i.e., HPTLC, HPLC, LC-MS, molecular markers and bioactive compounds markers for medicinal plants, and bioactive compounds. He has published more than 100 articles in international journals with papers also in national and international conferences contributed as author/co-author.
作者簡介(中文翻譯)
阿迪提亞·坎帕里亞博士擁有十年的教學、創業及研究與開發專業知識。目前他擔任印度巴巴薩赫布·比姆拉奧·安貝德卡大學計算機科學系的助理教授及協調員。他於2018年5月在旁遮普的Lovely Professional University獲得博士學位。他在VIT大學完成碩士學位，並在博帕爾的RGPV獲得學士學位。他在巴西的UNIFOR完成了博士後研究。他發表了超過100篇研究論文及書籍章節，其中包括20篇以上的頂級期刊論文，累計影響因子超過100。此外，他還編著及編輯了11本書籍。他的研究興趣包括機器學習、深度學習、教育技術及計算機視覺。
迪帕克·古普塔博士於2006年在印度古魯·戈賓德·辛格·印德拉普拉斯大學獲得學士學位（B.Tech.）。他於2010年在德里技術大學獲得碩士學位（M.E.），並於2017年在印度APJ·阿卜杜勒·卡拉姆技術大學獲得博士學位（Ph.D.）。他在巴西的Inatel完成了博士後研究。擁有13年的豐富教學經驗及2年的產業經驗，他專注於理性和實用的學習。他在智能數據分析、生物醫學工程、人工智慧及軟計算等領域貢獻了大量文獻。他曾擔任多本知名期刊的主編、客座編輯及副編輯，並積極組織各種知名國際會議。他已編著/編輯43本書籍，並發表了200篇科學研究出版物，包括100篇以上的SCI索引期刊論文。
巴比塔·潘迪博士目前在印度盧克瑙的巴巴薩赫布·比姆拉奧·安貝德卡大學計算機科學系擔任副教授。她的研究興趣包括生物醫學工程、電子學習、計算智能及安全系統。她已發表超過100篇出版物及會議論文，其中包括40篇以上的SCI索引期刊論文。
德文德拉·庫馬爾·潘迪博士目前在印度Lovely Professional University擔任教授。他在印度理工學院獲得生化工程博士學位。他的主要研究領域包括藥理學和毒理學、植物與土壤科學及分子科學。他的專業領域包括植物生物技術、植物-微生物相互作用、色譜技術（如HPTLC、HPLC、LC-MS）、藥用植物的分子標記及生物活性化合物標記。他在國際期刊上發表了超過100篇文章，並作為作者/共同作者參加了國內外會議。
