Ai-Driven Environmental Pollution Management
暫譯: AI 驅動的環境污染管理

這本書提供了全球範圍內環境污染所帶來的挑戰的全面概述，並深入探討空氣、水和噪音污染的複雜來源。它討論了如基於物聯網（IoT）的系統和人工智慧（AI）整合等尖端技術，用於污染檢測和監測網絡。書中專注於機器學習（machine learning）和深度學習（deep learning）模型，提供了評估、預測和減輕污染影響的見解。此外，它還檢視了基於AI的污染控制和減少策略的實施，以及城市規劃和可持續基礎設施發展的考量。這本不可或缺的資源探討了在環境治理中運用AI的社會、政策和經濟影響，強調全球合作在有效管理污染中的重要性。

本書將幫助讀者：
1. 理解新時代環境污染的負面影響。
2. 實施將可持續性整合到各種環境商業經濟中的先進管理技術。
3. 探索使用物聯網技術和數據分析的有效環境控制和減緩策略。
4. 利用AI/ML/DL進行準確的環境監測、建模、預測和決策。
5. 理解工業4.0的複雜性，以實現可持續發展目標。

Dr. Shashi Kant Tiwari is a highly accomplished Professor and a dedicated researcher, holding a bachelor's degree in mechanical engineering, a master's in Computer Aided Design from the Vellore Institute of Technology, Vellore (2017), and Ph.D. from the Indian Institute of Technology (Indian School of Mines) Dhanbad. His pioneering research areas lie in Artificial Intelligence, Machine Learning, Deep Learning, Environmental Acoustics, and Data Science. Dr. Tiwari has an extensive publication record in esteemed journals (Environmental Science and Pollution Research, Applied Acoustics, Noise Mapping, NCEJ, MAPAN, IEEE Explore, serves as a reviewer for reputable publications such as Environmental Research, Scientific Report, ESPR, Measurement, and holds two registered design patents. Additionally, he is also associated in two projects of Saudi Electronics University, Saudi Arabia. He currently imparts his knowledge as a Senior Assistant Professor at Balaji Institute of Modern Management, Sri Balaji University, Pune, in subjects like Data Science, and Introduction to Python, Machine Learning, and Deep Learning inspiring the next generation of pioneers with his holistic perspective and impressive expertise.

Dr. Atul Fegade holds a PhD in Marketing Management from Savitribai Phule Pune University (2018), an MBA in Marketing Management from the same university (2004), and a BSc in Chemistry from Fergusson College, Pune (2002). He is UGC NET qualified and has over 15 years of experience in management education at both undergraduate and postgraduate levels. In addition, he has 4.5 years of industry experience, having held sales positions at reputable companies such as ICICI Lombard General Insurance Ltd., Novar India Pvt. Ltd. (part of the Honeywell Group), and GSK Pharmaceuticals Ltd. Dr. Fegade's contributions to research and consultancy include authoring and presenting two papers at national and international conferences, as well as publishing seven research papers in reputable journals, including one in an ABDC B category publication and two indexed in Scopus. He has also published two book chapters indexed in Scopus. His consultancy work includes a marketing research project aimed at improving packaged cow milk sales for Kolhapur Zilla Doodh Utpadak Sangh (Gokul Milk) and completing a minor research project funded by BCUD, Savitribai Phule Pune University.

Dr. Mustafa Kamal currently employed as an Associate Professor in the Department of Basic Sciences, College of Science and Theoretical Studies, at Saudi Electronic University in Saudi Arabia. He received his Ph.D. in statistics from Aligarh Muslim University in India in 2013. Prior to assuming his current position, Dr. Kamal worked as a Research Project Fellow (From April 2012 to August 2014) in a Research Project (Code: 1206) of University Grants Commission SAP (DRS-I), Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh. Over the years, Dr. Kamal has established himself as a prolific researcher, with an impressive record of more than 75 research papers published in high-impact, peer-reviewed international journals and conference proceedings. His main research interest includes Reliability theory, Accelerated Life testing, Survey Sampling and Distribution Theory. He has also contributed to interdisciplinary fields, exploring the integration of statistical techniques with emerging areas like Artificial Intelligence, Environmental Sciences, Statistical Economics, and Sustainable Developments. His work emphasizes the application of statistical tools to address global challenges such as environmental sustainability and economic growth and reflects his deep expertise and innovative approach to addressing complex problems across various domains.

Dr. Shashi Kant Tiwari 是一位成就卓越的教授及專注的研究者，擁有機械工程學士學位、來自維洛爾科技學院（Vellore Institute of Technology, Vellore）的計算機輔助設計碩士學位（2017年），以及來自印度科技學院（Indian Institute of Technology, Indian School of Mines）丹哈巴德的博士學位。他的開創性研究領域包括人工智慧（Artificial Intelligence）、機器學習（Machine Learning）、深度學習（Deep Learning）、環境聲學（Environmental Acoustics）和數據科學（Data Science）。Dr. Tiwari 在多個知名期刊上發表了大量論文（如《環境科學與污染研究》（Environmental Science and Pollution Research）、《應用聲學》（Applied Acoustics）、《噪音地圖》（Noise Mapping）、NCEJ、MAPAN、IEEE Explore），並擔任《環境研究》（Environmental Research）、《科學報告》（Scientific Report）、ESPR、《測量》（Measurement）等知名出版物的審稿人，擁有兩項已註冊的設計專利。此外，他還參與了沙烏地阿拉伯沙烏地電子大學的兩個項目。目前，他在普那的巴拉吉現代管理學院（Balaji Institute of Modern Management, Sri Balaji University）擔任高級助理教授，教授數據科學、Python入門、機器學習和深度學習等科目，以其全面的視角和卓越的專業知識啟發下一代的先驅者。

Dr. Atul Fegade 擁有普那薩維特里拜·普赫勒大學（Savitribai Phule Pune University）市場管理博士學位（2018年）、同大學的市場管理MBA學位（2004年）以及普那的費格森學院（Fergusson College）化學學士學位（2002年）。他通過了UGC NET考試，並在本科及研究生層級的管理教育方面擁有超過15年的經驗。此外，他還擁有4.5年的行業經驗，曾在ICICI Lombard General Insurance Ltd.、Novar India Pvt. Ltd.（霍尼韋爾集團的一部分）和GSK Pharmaceuticals Ltd.等知名公司擔任銷售職位。Dr. Fegade 在研究和諮詢方面的貢獻包括在國內外會議上撰寫和發表兩篇論文，以及在知名期刊上發表七篇研究論文，其中一篇發表在ABDC B類出版物中，兩篇被Scopus索引。他還發表了兩章被Scopus索引的書籍章節。他的諮詢工作包括一個旨在改善Kolhapur Zilla Doodh Utpadak Sangh（Gokul Milk）包裝牛奶銷售的市場研究項目，以及完成一個由BCUD資助的小型研究項目，該項目由普那薩維特里拜·普赫勒大學提供資金。

Dr. Mustafa Kamal 目前在沙烏地阿拉伯的沙烏地電子大學（Saudi Electronic University）基礎科學系擔任副教授。他於2013年在印度阿利格爾穆斯林大學（Aligarh Muslim University）獲得統計學博士學位。在擔任目前職位之前，Dr. Kamal 曾於2012年4月至2014年8月在阿利格爾穆斯林大學統計與運籌研究系的研究項目（代碼：1206）中擔任研究項目研究員。多年來，Dr. Kamal 已經建立了自己作為高產研究者的聲譽，發表了超過75篇在高影響力的同行評審國際期刊和會議論文集中的研究論文。他的主要研究興趣包括可靠性理論（Reliability theory）、加速壽命測試（Accelerated Life testing）、抽樣調查（Survey Sampling）和分佈理論（Distribution Theory）。他還對跨學科領域做出了貢獻，探索統計技術與人工智慧、環境科學、統計經濟學和可持續發展等新興領域的整合。他的工作強調應用統計工具來解決全球挑戰，如環境可持續性和經濟增長，並反映出他在各個領域解決複雜問題的深厚專業知識和創新方法。