Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science
暫譯: 可持續未來的機器學習與聚類：在工程與環境科學中的應用
Raya-Tapia, Alma Yunuen, López-Flores, Francisco Javier, Ramírez-Márquez, César
- 出版商: Springer
- 出版日期: 2025-09-01
- 售價: $7,720
- 貴賓價: 9.5 折 $7,334
- 語言: 英文
- 頁數: 351
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032038758
- ISBN-13: 9783032038753
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examination of clustering methodologies, covering unsupervised and supervised techniques, data preprocessing, distance metrics, and cluster validation methods such as the elbow and silhouette techniques.
Readers will find practical insights into applying these methods to real-world problems, including clustering greenhouse gas emissions, optimizing energy systems, and analyzing the energy-food nexus in the context of global crises. By integrating theoretical foundations with hands-on applications, this book serves as a valuable resource for researchers, engineers, and professionals seeking data-driven solutions for sustainability challenges.
商品描述(中文翻譯)
本書探討尖端的機器學習和聚類技術，以應對工程、環境科學和可持續性方面的關鍵挑戰。書中深入檢視聚類方法，涵蓋無監督和監督技術、數據預處理、距離度量以及聚類驗證方法，如肘部法則（elbow）和輪廓法（silhouette）技術。
讀者將獲得將這些方法應用於現實問題的實用見解，包括聚類溫室氣體排放、優化能源系統，以及在全球危機背景下分析能源與食品的關聯。通過將理論基礎與實踐應用相結合，本書成為研究人員、工程師和專業人士尋求數據驅動的可持續性挑戰解決方案的重要資源。
作者簡介
Alma Yunuen Raya-Tapia, PhD student in chemical engineering at the Universidad Michoacana de San Nicolás de Hidalgo. She obtained in 2021 the title of Master of Science in chemical engineering with honors. She has worked in the area of materials synthesis, photocatalysis, dye degradation and wastewater treatment. She is currently working on the strategic planning of the water, energy and food nexus, the application of machine learning techniques and the simulation and optimization of energy systems. She has published 10 scientific articles and 7 presentations at international and national conferences.
Francisco Javier López-Flores, He received his Master's and Ph.D. degrees from the Chemical Engineering Department at the Universidad Michoacana de San Nicolás de Hidalgo in Mexico in 2021 and 2025, respectively. His research interests focus on machine learning, process optimization, energy integration, and planning strategies. To date, he has published 15 scientific articles, contributed to 2 book chapters, and presented his research at 20 national and international conferences.
César Ramírez-Márquez, Postdoctoral Fellow at the Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. He received his PhD degree from the University of Guanajuato (Mexico) in 2020. Currently published contributions focus on the production of materials for the solar energy industry and base chemicals in the chemical industry. He has published more than 60 journal papers, and 10 book chapters, has presented his work at more than 18 international/regional conferences, and has registered 4 patents.
José María Ponce-Ortega, Professor at the Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. He obtained his Ph.D. and Master degrees in Chemical Engineering from the Institute of Technology of Celaya in Mexico in 2009 and 2003, respectively. He stayed as a postdoctoral researcher at Texas A&M University, USA, and as a visiting scholar at Carnegie Mellon University, USA. Dr. Ponce-Ortega is a full professor at the Universidad Michoacana de San Nicolás de Hidalgo, and he is a member of the National Research System of Mexico. The research interest of Dr. Ponce-Ortega is in the areas of optimization of chemical processes, sustainable design, energy, mass, water and property integration, and supply chain optimization. Dr. Ponce-Ortega has published over 320 papers, 7 books, and 50 book chapters. He also has supervised 30 Ph.D. and 45 master's students. He also has 15 funded research projects for about $US 1,000,000.00. Dr. Ponce-Ortega is a member of the editorial board of the journals Clean Technologies and Environmental Policy, Process Integration and Optimization for Sustainability, and Industrial and Engineering Chemistry Research. He is also a subject editor in the journal Sustainable Production and Consumption.
作者簡介(中文翻譯)
阿爾瑪·尤努恩·拉亞-塔皮亞（Alma Yunuen Raya-Tapia），是墨西哥米卻肯州聖尼古拉斯德伊達爾戈大學（Universidad Michoacana de San Nicolás de Hidalgo）化學工程博士生。她於2021年獲得化學工程碩士學位，並以優異成績畢業。她曾在材料合成、光催化、染料降解和廢水處理等領域工作。目前，她專注於水、能源和食品的戰略規劃、機器學習技術的應用以及能源系統的模擬和優化。她已發表10篇科學文章，並在國際和國內會議上進行了7次報告。
法蘭西斯科·哈維爾·洛佩斯-弗洛雷斯（Francisco Javier López-Flores），於2021年和2025年分別獲得墨西哥米卻肯州聖尼古拉斯德伊達爾戈大學化學工程系的碩士和博士學位。他的研究興趣集中在機器學習、過程優化、能源整合和規劃策略。迄今為止，他已發表15篇科學文章，貢獻了2章書籍，並在20場國內外會議上展示了他的研究。
塞薇爾·拉米雷斯-馬爾克斯（César Ramírez-Márquez），是墨西哥米卻肯州聖尼古拉斯德伊達爾戈大學化學工程系的博士後研究員。他於2020年在瓜納華托大學（University of Guanajuato）獲得博士學位。目前，他的研究重點是為太陽能產業和化學工業的基礎化學品生產材料。他已發表超過60篇期刊論文和10章書籍，並在超過18場國際/區域會議上展示了他的工作，並註冊了4項專利。
荷西·瑪麗亞·龐塞-奧爾特加（José María Ponce-Ortega），是墨西哥米卻肯州聖尼古拉斯德伊達爾戈大學化學工程系的教授。他於2003年和2009年分別在墨西哥塞拉亞科技學院獲得化學工程碩士和博士學位。他曾在美國德州農工大學擔任博士後研究員，並在美國卡內基梅隆大學擔任訪問學者。龐塞-奧爾特加博士是米卻肯州聖尼古拉斯德伊達爾戈大學的正教授，也是墨西哥國家研究系統的成員。龐塞-奧爾特加博士的研究興趣包括化學過程的優化、可持續設計、能源、質量、水和財產整合，以及供應鏈優化。龐塞-奧爾特加博士已發表超過320篇論文、7本書和50章書籍。他還指導了30名博士生和45名碩士生，並擁有約100萬美元的15個資助研究項目。龐塞-奧爾特加博士是《清潔技術與環境政策》、《可持續性過程整合與優化》和《工業與工程化學研究》期刊的編輯委員會成員。他也是《可持續生產與消費》期刊的主題編輯。
