相關主題
商品描述
How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.
Key features:
- Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health.
- Highlights the advancement in electronics and communication technology for green applications.
- Covers smart energy harvesting/charging and power management techniques using machine learning.
- Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security.
- Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change.
The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.
商品描述(中文翻譯)
如何在較少的計算次數下提高算法的效率，並優化資源以實現成本效益的解決方案？《人工智慧技術與可持續發展》提供了答案。此外，本書還討論了重要概念，如物聯網生態系統的綠色通信網絡設計與實施、網絡安全中的綠色計算，以及用於遙感應用的人工智慧模型。
主要特點：
- 提供最新的工具和技術，旨在開發資源利用、能源效率以及人類和環境健康的解決方案。
- 突出電子和通信技術在綠色應用方面的進展。
- 涵蓋使用機器學習的智能能源收集/充電和電源管理技術。
- 解釋物聯網生態系統的綠色通信網絡設計與實施，以及網絡安全中的綠色計算。
- 說明碳排放和封存、環境健康及氣候變化的預測模型。
本書的目標讀者為電機工程、電子與通信工程、計算機科學與工程、環境工程及生物醫學工程等領域的高年級本科生、研究生及學術研究人員。
作者簡介
Dr. Deepika Ghai has completed her Ph.D in the area of Signal and Image Processing from Punjab Engineering College (Deemed to be University), Chandigarh. She did her M.Tech in VLSI Design & CAD from Thapar University, Patiala, and B.Tech in Electronics and Communications Engineering from Rayat Institute of Engineering and Technology, Ropar. She is associated with Lovely Professional University as an Assistant Professor with more than six years of experience in academics. She has received Dr. C.B. Gupta Award in 2021 at Lovely Professional University. She has published more than 40 research papers in refereed journals and conferences. She has worked as a session chair, conference steering committee member, editorial board member, and reviewer in international/national IEEE Journal and conferences. She has also published a number of edited books, "Health Informatics and Technological Solutions for Coronavirus (COVID-19)" in CRC Taylor & Francis, "Machine Learning Algorithms for Signal and Image Processing" with Wiley-IEEE Press and "Multimodal Biometric and Machine Learning Technologies: Applications for Computer Vision" with Wiley Scrivener Publishing. She is associated as a life member of the Indian Science Congress. Her area of expertise includes Signal and Image Processing, Bio-medical Signal and Image Processing, and VLSI Signal Processing.
Dr. Kirti Rawal received her Ph.D. degree in Electronics & Communication Engineering from Dr. B. R. Ambedkar National Institute of Technology Jalandhar in the area of Biomedical Signal Processing. Presently, she is working as a Professor in School of Electronics and Electrical Engineering at Lovely Professional University, Phagwara, Punjab India.
She has published 16 research papers in reputed International Journals and 12 papers in Conferences. She is also guiding Ph.D. scholars, M. Tech Dissertation Students, and B. Tech. Projects in the area of biomedical signals, medical imaging, and digital signal & image processing. She has 13+ years of rich experience in teaching & research and technical education management. Her areas of interest are Digital Signal Processing, biomedical signal processing, medical imaging, artificial Intelligence, Image Processing, Machine Learning, and healthcare services. She is a member of the Indian Science Congress, Calcutta. She is the reviewer of many SCI-indexed Journals, Scopus-indexed Journals, and conferences. She has also authored and reviewed diverse chapters in refereed books.
Dr. Kanav Dhir has completed his Ph.D in the area of Inorganic and Medicinal Chemistry from Punjab Engineering College (Deemed to be University), Chandigarh. He did his M.Sc in Chemistry from DAV College, Chandigarh, and B.Sc from A.S. College, Khanna. He is associated with DAV College, Chandigarh as an Assistant Professor with more than five 10 years of experience in academics. He has published more than 12 research papers in refereed journals and conferences and four book chapters. He has published an edited book, "Health Informatics and Technological Solutions for Coronavirus (COVID-19)" in CRC Taylor & Francis. His area of expertise includes Inorganic Chemistry and Bioinorganic Chemistry. He is associated as a professional member of SESI.
Dr Suman Lata Tripathi is working as Professor in Lovely Professional University with more than 22 years of experience in academics and research. She has completed her Ph.D. in the area of microelectronics and VLSI Design from MNNIT, Allahabad. She did her MTech in Electronics Engineering from UP Technical University, Lucknow and BTech in Electrical Engineering from Purvanchal University, Jaunpur. She has completed her remote post-doc from Nottingham Trent University, London, UK in the year 2022-23. She has published more than 125 research papers in refereed Springer, Elsevier, IEEE, Wiley and IOP science journals, conference proceeding and e-books. She has also published 14 Indian patents and 4 copyright. She has guided 6 PhD scholar and 3 are under submission stage. She has organized several workshops, summer internships, and expert lectures for students. She has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer in international/national IEEE, Springer, Wiley etc Journal and conferences. She has received the "Research Excellence Award" in 2019 and "Research Appreciation Award" in 2020, 2021 and 2023 at Lovely Professional University, India. She is recipient of IGEN Women's for Green Technology "Women's Achievers Award" on International Women's Day, 8th March-2023. She had received the best paper at IEEE ICICS-2018. She has also received funded project from SERB DST under the scheme TARE in the area of Microelectronics devices. She has edited and authored more than 27 books in different areas of Electronics and electrical engineering. She is associated for editing work with top publishers like Elsevier, CRC Taylor and Francis, Wiley-IEEE, SP Wiley, Nova Science and Apple academic press etc. She is also working as book series editor for title, "Smart Engineering Systems" CRC Press, "Engineering system design for sustainable developments" & "Decentralized Systems & Next Generation Internet" Wiley-Scrivener, and conference series editor for "Conference Proceedings Series on Intelligent systems for Engineering designs" CRC Press Taylor & Francis. She is serving as academic editor of journal "Journal of Electrical and Computer Engineering" (Scopus/WoS, Q2), "International Journal of Reconfigurable Computing, Scopus, Q3), "Active and Passive Electronic Component" (Scopus, Q4) Hindawi and special issue guest editor for "Advances in Nanomaterials and Nanoscale Semiconductor Applications" Material, MDPI Journal (SCI IF=3.74, Q2). She is associated as senior member IEEE, Fellow IETE and Life member ISC and is continuously involved in different professional activities along with academic work. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advanced FET design for IoT, Embedded System Design, reconfigurable architecture with FPGAs and biomedical applications etc.
作者簡介(中文翻譯)
Dr. Deepika Ghai 完成了在昌迪加爾的旁遮普工程學院（被認定為大學）信號與影像處理領域的博士學位。她在塔帕爾大學獲得了 VLSI 設計與 CAD 的碩士學位，並在羅帕爾的瑞亞特工程與技術學院獲得電子與通信工程的學士學位。她目前在洛夫利專業大學擔任助理教授，擁有超過六年的學術經驗。她於 2021 年在洛夫利專業大學獲得 Dr. C.B. Gupta 獎。她在同行評審的期刊和會議上發表了超過 40 篇研究論文。她曾擔任國際/國內 IEEE 期刊和會議的會議主席、會議指導委員會成員、編輯委員會成員和審稿人。她還出版了多本編輯書籍，包括 CRC Taylor & Francis 的《健康資訊學與冠狀病毒（COVID-19）的技術解決方案》，與 Wiley-IEEE Press 合作的《信號與影像處理的機器學習演算法》，以及與 Wiley Scrivener Publishing 合作的《多模態生物識別與機器學習技術：計算機視覺的應用》。她是印度科學大會的終身會員。她的專業領域包括信號與影像處理、生物醫學信號與影像處理，以及 VLSI 信號處理。
Dr. Kirti Rawal 獲得了來自 Dr. B. R. Ambedkar 國立技術學院賈蘭達爾的電子與通信工程博士學位，專注於生物醫學信號處理。目前，她在洛夫利專業大學的電子與電氣工程學院擔任教授。她在知名國際期刊上發表了 16 篇研究論文，並在會議上發表了 12 篇論文。她還指導博士生、碩士論文學生和學士專案，專注於生物醫學信號、醫學影像以及數位信號與影像處理。她擁有超過 13 年的教學、研究和技術教育管理的豐富經驗。她的研究興趣包括數位信號處理、生物醫學信號處理、醫學影像、人工智慧、影像處理、機器學習和健康照護服務。她是印度科學大會的成員，並擔任多本 SCI 索引期刊、Scopus 索引期刊和會議的審稿人。她還撰寫和審閱了多本同行評審書籍中的各種章節。
Dr. Kanav Dhir 完成了在昌迪加爾的旁遮普工程學院（被認定為大學）無機與藥物化學領域的博士學位。他在昌迪加爾的 DAV 學院獲得化學碩士學位，並在 Khanna 的 A.S. 學院獲得化學學士學位。他目前在昌迪加爾的 DAV 學院擔任助理教授，擁有超過 10 年的學術經驗。他在同行評審的期刊和會議上發表了超過 12 篇研究論文和四個書章。他出版了 CRC Taylor & Francis 的編輯書籍《健康資訊學與冠狀病毒（COVID-19）的技術解決方案》。他的專業領域包括無機化學和生物無機化學。他是 SESI 的專業會員。
Dr. Suman Lata Tripathi 在洛夫利專業大學擔任教授，擁有超過 22 年的學術和研究經驗。她在 MNNIT 阿拉哈巴德完成了微電子學和 VLSI 設計的博士學位。她在烏普技術大學獲得電子工程碩士學位，並在普爾萬查爾大學獲得電氣工程學士學位。她於 2022-23 年在英國倫敦的諾丁漢特倫特大學完成了遠程博士後研究。她在同行評審的 Springer、Elsevier、IEEE、Wiley 和 IOP 科學期刊、會議論文集和電子書上發表了超過 125 篇研究論文。她還出版了 14 本印度期刊的論文。
