Optimization of Sustainable Enzymes Production: Artificial Intelligence and Machine Learning Techniques
暫譯: 可持續酶生產的優化：人工智慧與機器學習技術

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: $4,200
  • 貴賓價: 9.5 折 $3,990
  • 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)

本書旨在作為參考書，並提供一種系統化的方法來分析基於演化和自然啟發的群體搜尋演算法。書中首先介紹了優化方法和演算法以及各種酶，然後提供了一個統一的酶過程優化框架，結合各種演算法。本書展示了機器學習在各種應用中的最新研究，並討論了優化技術以解決現實生活中的問題。

- 本書彙編了不同的機器學習模型，用於優化工業重要酶的生產參數。書中詳細闡述了由不同微生物生產的各種酶的生產和優化。
- 討論了幫助最小化模式和分類開發中誤差的優化方法，這進一步有助於改善預測和決策。
- 涵蓋了在實時環境中整合人工智慧的可持續酶生產的最佳表現方法和途徑。
- 本書提供了寶貴的見解，幫助讀者探索通向多學科研究討論的新途徑。

本書主要針對學習機器學習、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的實用性。

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 在印度拉伊普爾的國立技術學院 (NIT) 生物技術系擔任助理教授已有超過 8 年。她在印度理工學院 (IIT) 卡哈爾古爾獲得生物技術碩士學位，並在印度海得拉巴的 IIT 獲得博士學位。在她的研究生涯中，她曾擔任印度化學技術研究所 (IICT) 的科學家（女性科學家 - 科學與技術部 (DST)）。她已發表超過 60 篇 SCI/Scopus 研究論文、6 本書籍、幾篇書章以及 40 篇國際會議論文。她的研究貢獻獲得了廣泛的全球引用。她完成了一個 DST 女性科學家項目（22 萬盧比），目前正在處理一個 DST-早期職業研究項目（43 萬盧比）和一個 CCOST 項目（4 萬盧比）。她擁有超過 7 年的教學經驗和 3 年的研究經驗。Dr. Eswari 曾擔任《印度生物化學與生物物理學期刊》（SCI）和《化學技術與生物技術期刊》的客座編輯。她在環境生物修復、廢水處理、生物過程、產品開發和生物信息學等領域進行了深入的研究。她在數學和工程工具應用於生物技術過程方面獲得了開創性的專業知識。她獲得了 IEI 年輕工程師獎、Venus International 傑出女性獎和 DK 最佳教師獎。Dr. Eswari 已指導三名博士生，並目前正在指導另外三名博士生。

Dr. Nisha Suryawanshi 目前在印度中央邦薩加爾的政府藝術與商業學院動物學系擔任客座教師。她在印度恰蒂斯加爾的古魯·加西達斯中央大學獲得生物技術（榮譽）理學士學位，並在薩加爾的哈里·辛格·古爾中央大學獲得生物技術碩士學位。她在印度恰蒂斯加爾的國立技術學院生物技術系獲得哲學博士學位。她在同行評審的 SCI 期刊上發表了十篇與其研究領域相關的論文。在攻讀博士學位期間，她專注於生物過程和產品開發領域。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）以及州級考試 MPSET。

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