Optimization of Sustainable Enzymes Production: Artificial Intelligence and Machine Learning Techniques

Satya Eswari, J., Suryawanshi, Nisha

Optimization of Sustainable Enzymes Production: Artificial Intelligence and Machine Learning Techniques
  • 出版商: CRC
  • 出版日期: 2022-11-29
  • 售價: $4,180
  • 貴賓價: 9.5 折 $3,971
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032273372
  • ISBN-13: 9781032273372
  • 相關分類: 人工智慧、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book is designed as a reference book and presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. Beginning with an introduction to optimization methods and algorithms and various enzymes, the book then moves on to provide a unified framework of process optimization for enzymes with various algorithms. The book presents current research on various applications of machine learning and discusses optimization techniques to solve real-life problems.

  • The book compiles the different machine learning models for optimization of process parameters for production of industrially important enzymes. The production and optimization of various enzymes produced by different microorganisms are elaborated in the book
  • It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making
  • Covers the best-performing methods and approaches for optimization sustainable enzymes production with AI integration in a real-time environment
  • Featuring valuable insights, the book helps readers explore new avenues leading towards multidisciplinary research discussions

The book is aimed primarily at advanced undergraduates and graduates studying machine learning, data science and industrial biotechnology. Researchers and professionals will also find this book useful.

商品描述(中文翻譯)

這本書旨在作為一本參考書，提供一種系統化的方法來分析演化和自然啟發的基於群體的搜索算法。從優化方法和算法以及各種酶的介紹開始，本書進一步提供了一個統一的框架，用於使用不同算法優化酶的過程。本書介紹了機器學習在各種應用中的最新研究，並討論了解決現實問題的優化技術。

本書匯編了不同的機器學習模型，用於優化生產工藝參數以生產工業重要的酶。書中詳細介紹了不同微生物生產的各種酶的生產和優化過程。

本書討論了幫助減少開發模式和分類中的錯誤的優化方法，進一步提高預測和決策能力。

本書涵蓋了在實時環境中集成人工智能以優化可持續酶生產的最佳方法和途徑。

本書提供了有價值的見解，幫助讀者探索通往多學科研究討論的新途徑。

本書主要針對研究機器學習、數據科學和工業生物技術的高年級本科生和研究生。研究人員和專業人士也會發現本書有用。

作者簡介

Dr. J. Satya Eswari has been an assistant professor for more than 8 years at

the Biotechnology Department of the National Institute of Technology (NIT),

Raipur, India. She did her M.Tech in Biotechnology at the Indian Institute

of Technology (IIT) Kharagpur and a Ph.D. at the IIT, Hyderabad, India.

During her research career, she worked as a Scientist (Woman Scientist -

Department of Science and Technology (DST)) in the Indian Institute of

Chemical Technology (IICT), Hyderabad. She has published more than 60

SCI/Scopus research papers, 6 books, a few book chapters, and 40 international

conference proceedings. Her research contributions have received

wide global citations. She completed one DST woman scientist project (22

lakhs) and is currently handling one DST-Early career research project (43

lakhs) and one CCOST (4 lakhs). She has more than 7 years of teaching experience

and 3 years of research experience. Dr. Eswari has been a guest editor

for the Indian Journal of Biochemistry and Biophysics (SCI) and the Journal

of Chemical Technology and Biotechnology. She has rigorously pursued her

research in the areas of Environmental bioremediation, wastewater treatment,

bioprocess, and product development and bioinformatics. She gained

pioneering expertise in the application of mathematical and engineering

tools to Biotechnological processes. She has received the IEI Young Engineer

award, the Outstanding Woman by Venus International award, and the DK

Best Faculty award. Dr. Eswari has already guided three Ph.D. students and

is currently guiding three other Ph.D. students.

Dr. Nisha Suryawanshi is currently working as a guest faculty in the

Department of Zoology at Government Arts and Commerce College, Sagar,

Madhya Pradesh, India. She completed her Bachelor of Science (B.Sc.) in

Biotechnology (Honours) from Guru Ghasidas Central University Bilaspur

(Chhattisgarh, India), her Masters of Science (M.Sc.) in Biotechnology from

Dr. Hari Singh Gour Central University, Sagar (Madhya Pradesh). She

received a Doctor of Philosophy from the Department of Biotechnology,

National Institute of Technology, Raipur (Chhattisgarh, India). She has ten

publications in her research area in peer-reviewed SCI journals. During her

Ph.D., she worked in the area of bioprocess and product development. She

also has qualified national-level examinations CSIR-NET-JRF (Life science),

GATE (Biotechnology), ICAR-NET (Agriculture Biotechnology), and the

state-level examination MPSET.

作者簡介(中文翻譯)

Dr. J. Satya Eswari在印度Raipur的國家技術研究所(NIT)生物技術系擔任助理教授已超過8年。她在印度卡拉格普爾的印度理工學院(IIT)生物技術專業取得碩士學位，並在印度海得拉巴的印度理工學院(IIT)獲得博士學位。在研究生涯中，她曾在印度海得拉巴的印度化學技術研究所(IICT)擔任科學家(科技部婦女科學家)。她已發表超過60篇SCI/Scopus研究論文、6本書、幾篇書章和40篇國際會議論文集。她的研究成果獲得了廣泛的全球引用。她完成了一個科技部婦女科學家項目(22萬卢比)，目前正在進行一個科技部早期職業研究項目(43萬卢比)和一個CCOST項目(4萬卢比)。她擁有超過7年的教學經驗和3年的研究經驗。Eswari博士曾擔任《印度生物化學和生物物理學雜誌》(SCI)和《化學技術和生物技術雜誌》的客座編輯。她在環境生物復育、廢水處理、生物過程和產品開發以及生物信息學領域積極開展研究。她在生物技術過程中的數學和工程工具應用方面具有開創性的專業知識。她獲得了IEI青年工程師獎、Venus國際傑出女性獎和DK最佳教職獎。Eswari博士已經指導了三名博士生，目前正在指導另外三名博士生。

Dr. Nisha Suryawanshi目前在印度Madhya Pradesh的政府藝術與商業學院的動物學系擔任客座教師。她在印度恭韋拉斯達斯中央大學Bilaspur分校(查蒂斯加爾邦，印度)取得生物技術(榮譽)學士學位，並在Madhya Pradesh的Dr. Hari Singh Gour中央大學Sagar分校取得生物技術碩士學位。她在印度Raipur的國家技術研究所生物技術系獲得博士學位。她在同行評審的SCI期刊上發表了十篇研究領域的論文。在博士期間，她在生物過程和產品開發領域工作。她還通過了國家級考試CSIR-NET-JRF(生命科學)、GATE(生物技術)、ICAR-NET(農業生物技術)和州級考試MPSET。

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