Advanced Computing and AI for Sustainable Environment, Energy, and Smart Manufacturing: AI-Driven Sustainability Across Environment, Energy, and Indus
暫譯: 可持續環境、能源與智慧製造的進階計算與人工智慧：環境、能源與工業的人工智慧驅動可持續性
Singh, Harvinder, Kaushal, Priyanka, Kaur, Sarabjeet
- 出版商: CRC
- 出版日期: 2026-05-22
- 售價: $2,460
- 貴賓價: 9.5 折 $2,337
- 語言: 英文
- 頁數: 622
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041340311
- ISBN-13: 9781041340317
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相關分類:
Machine Learning、材料科學 Meterials、Maker
尚未上市，無法訂購
相關主題
商品描述
This book presents a comprehensive exploration of cutting-edge research and innovations driving sustainability across energy, environment, materials, and intelligent systems. Bringing together multidisciplinary perspectives, the book highlights how advanced physics, chemistry, artificial intelligence, data science, and manufacturing technologies are shaping a greener, more resilient future.
The book is organized into thematic tracks covering energy conversion and storage, environmental and atmospheric physics, green and sustainable chemistry, materials chemistry for energy and environment, mathematical modeling and simulation, data science, AI and IoT for sustainability, and advanced manufacturing. It features state-of-the-art studies on renewable energy systems, smart grids, climate and environmental monitoring, sustainable materials and composites, green nanotechnology, and next-generation coatings. Significant emphasis is placed on AI-driven modeling, machine learning, digital twins, and IoT frameworks for optimizing resource use, enhancing healthcare, agriculture, cybersecurity, and smart infrastructure. The contributions collectively demonstrate how computational intelligence and advanced materials enable efficient energy management, environmental protection, and circular-economy practices, supported by experimental, analytical, and simulation-based findings.
This book is intended for researchers, academicians, postgraduate students, and industry professionals working in sustainability, energy systems, materials science, environmental engineering, artificial intelligence, and applied computational sciences, as well as policymakers seeking research-driven insights for sustainable development.
商品描述(中文翻譯)
本書全面探討推動能源、環境、材料和智能系統可持續性的前沿研究與創新。結合多學科的觀點，本書強調先進的物理學、化學、人工智慧、數據科學和製造技術如何塑造一個更綠色、更具韌性的未來。
本書分為主題性章節，涵蓋能源轉換與儲存、環境與大氣物理學、綠色與可持續化學、能源與環境的材料化學、數學建模與模擬、數據科學、人工智慧與物聯網在可持續性中的應用，以及先進製造技術。它展示了關於可再生能源系統、智能電網、氣候與環境監測、可持續材料與複合材料、綠色納米技術和下一代塗層的最先進研究。特別強調基於人工智慧的建模、機器學習、數位雙胞胎和物聯網框架，以優化資源使用、提升醫療保健、農業、網絡安全和智能基礎設施。這些貢獻共同展示了計算智能和先進材料如何促進高效的能源管理、環境保護和循環經濟實踐，並得到實驗、分析和基於模擬的研究結果的支持。
本書旨在為從事可持續性、能源系統、材料科學、環境工程、人工智慧和應用計算科學的研究人員、學者、研究生及行業專業人士，以及尋求基於研究的可持續發展見解的政策制定者提供參考。
作者簡介
Harvinder Singh is an experienced academic and researcher, currently serving as an Associate Professor at CEC-CGC Landran, Mohali. His areas of expertise include sustainability, environmental engineering, and renewable energy systems, with a strong focus on interdisciplinary solutions for global environmental challenges. Singh has actively contributed to numerous international conferences and research collaborations and has several publications in reputed peer-reviewed journals. As the editor of this volume, Singh brings his academic leadership and commitment to advancing knowledge in sustainable development and innovative environmental practices.
Priyanka Kaushal is a Professor of Mathematics at Chandigarh Engineering College, CGC Landran. With over a decade of academic and research experience, she holds a Ph.D. in Applied Mathematics from I.K. Gujral Punjab Technical University. Her research interests include computational mathematics, steganography, fog computing, and image processing. She has actively guided student research and organized national academic events. Kaushal was honored with the Best Researcher Award in Mathematics at the Universal Innovators Leadership Awards (UILA 2021). She is recognized for her dedication to teaching, innovation in applied mathematics, and significant contributions to interdisciplinary academic development.
Sarbjeet Kaur is an Assistant Professor in the Department of Applied Sciences at CGC College Engineering, CGC Landran. Holding a Ph.D. in Applied Sciences, she brings over a decade of experience in teaching and research. Her expertise spans applied mathematics, computational modeling, and interdisciplinary applications in engineering contexts. Kaur actively mentors undergraduate and postgraduate students, guiding them through research projects and publications. She plays a pivotal role in organizing academic events, workshops, and faculty development programs at CGC Landran. Known for her commitment to enhancing both academic rigor and student success, Kaur contributes meaningfully to the college's research culture and curriculum innovation.
作者簡介(中文翻譯)
Harvinder Singh 是一位經驗豐富的學者和研究者，目前擔任 Mohali 的 CEC-CGC Landran 副教授。他的專業領域包括可持續性、環境工程和可再生能源系統，並強調針對全球環境挑戰的跨學科解決方案。Singh 積極參與多個國際會議和研究合作，並在多本知名的同行評審期刊上發表了多篇論文。作為本書的編輯，Singh 帶來了他的學術領導力和推動可持續發展及創新環境實踐的承諾。
Priyanka Kaushal 是 CGC Landran 的昌迪加爾工程學院數學教授。擁有超過十年的學術和研究經驗，她在 I.K. Gujral 旁遮普技術大學獲得應用數學博士學位。她的研究興趣包括計算數學、隱寫術、霧計算和影像處理。她積極指導學生研究並組織全國學術活動。Kaushal 在 2021 年的全球創新領導獎（UILA 2021）中獲得數學最佳研究者獎。她因對教學的奉獻、在應用數學方面的創新以及對跨學科學術發展的重大貢獻而受到認可。
Sarbjeet Kaur 是 CGC Landran 的 CGC College Engineering 應用科學系助理教授。擁有應用科學博士學位，她在教學和研究方面擁有超過十年的經驗。她的專業涵蓋應用數學、計算建模以及在工程背景下的跨學科應用。Kaur 積極指導本科生和研究生，協助他們進行研究項目和發表論文。她在組織學術活動、工作坊和教職員發展計劃方面發揮了關鍵作用。Kaur 以提升學術嚴謹性和學生成功的承諾而聞名，對學院的研究文化和課程創新做出了重要貢獻。
