Sustainable Materials: The Role of Artificial Intelligence and Machine Learning
暫譯: 可持續材料：人工智慧與機器學習的角色
Mishra, Akshansh, S. Jatti, Vijaykumar, Paliwal, Shivangi
- 出版商: CRC
- 出版日期: 2026-05-21
- 售價: $2,580
- 貴賓價: 9.5 折 $2,451
- 語言: 英文
- 頁數: 208
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032568534
- ISBN-13: 9781032568539
-
相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.
商品描述(中文翻譯)
機器學習演算法的自我學習能力使得調查更加準確，並能滿足所有複雜的需求。神經網路的發展可以處理各種形式的數據，包括數值和圖像。這些技術還會檢視可持續性、壽命、以及生產聚合物的能耗等。本書探討了使用機器學習演算法進行可持續聚合物複合材料的設計、特徵化和預測分析的發展。
作者簡介
Akshansh Mishra is pursuing a Master's in Materials Engineering and Nanotechnology at Politecnico Di Milano, Milan, Italy. He works on the application of Artificial Intelligence-based algorithms in the Manufacturing and Materials sectors. His main research interests are Cognitive Computing, Advanced Manufacturing, Explainable Artificial Intelligence (XAI), Machine Learning, Natural Language Processing, Nature-based optimization algorithms, and Composite Materials.
Vijaykumar S Jatti is an Associate Professor at Symbiosis Institute of Technology, Pune, India. His main research interests are Machine Learning, Mechanical Design, Material Science, Conventional & Non-Conventional Machining Processes, Additive Manufacturing, and Bio-Materials (Metals, Ceramics and Polymers). He has several publications in WoS and Scopus indexed journals. He has received 18 awards in academics & research works.
Shivangi Paliwal is pursuing a Ph.D. in Mechanical Engineering, at the University of Kentucky, USA. Before joining the University of Kentucky, she worked as a Junior Research Fellow at the Indian Institute of Technology, Mumbai, India. Her research work integrates experimental and numerical simulation techniques to leverage the potential of additive manufacturing. Her research work reviews sustainability through the use of non-traditional machining and surface engineering.
作者簡介(中文翻譯)
**Akshansh Mishra** 目前在意大利米蘭的米蘭理工大學攻讀材料工程與奈米科技碩士學位。他專注於人工智慧（Artificial Intelligence）基礎演算法在製造和材料領域的應用。他的主要研究興趣包括認知計算（Cognitive Computing）、先進製造（Advanced Manufacturing）、可解釋的人工智慧（Explainable Artificial Intelligence, XAI）、機器學習（Machine Learning）、自然語言處理（Natural Language Processing）、基於自然的優化演算法（Nature-based optimization algorithms）以及複合材料（Composite Materials）。
**Vijaykumar S Jatti** 是印度浦那的Symbiosis Institute of Technology的副教授。他的主要研究興趣包括機器學習（Machine Learning）、機械設計（Mechanical Design）、材料科學（Material Science）、傳統與非傳統加工過程（Conventional & Non-Conventional Machining Processes）、增材製造（Additive Manufacturing）以及生物材料（Bio-Materials，包括金屬、陶瓷和聚合物）。他在WoS和Scopus索引的期刊上發表了多篇論文，並在學術和研究工作中獲得了18項獎項。
**Shivangi Paliwal** 目前在美國肯塔基大學攻讀機械工程博士學位。在加入肯塔基大學之前，她曾在印度孟買的印度理工學院擔任初級研究員（Junior Research Fellow）。她的研究工作結合了實驗和數值模擬技術，以發揮增材製造的潛力。她的研究工作通過使用非傳統加工和表面工程來審視可持續性。
