Machine Learning and Internet of Things for Societal Issues
暫譯: 機器學習與物聯網在社會議題中的應用

Satyanarayana, Ch, Gao, Xiao-Zhi, Ting, Choo-Yee

  • 出版商: Springer
  • 出版日期: 2022-02-26
  • 售價: $4,080
  • 貴賓價: 9.5$3,876
  • 語言: 英文
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811650896
  • ISBN-13: 9789811650895
  • 相關分類: Machine Learning物聯網 IoT
  • 海外代購書籍(需單獨結帳)

商品描述

This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.

商品描述(中文翻譯)

本書強調了機器學習和物聯網(IoT)領域的最新進展,以及它們在解決社會問題或滿足社會中各類用戶需求方面的應用。眾所周知,許多智能設備是互相連接的,所產生的數據正被用機器學習模型進行分析和處理,以進行預測、分類等,從而解決健康、道路安全、農業和教育等各個領域的人類需求。本書匯集了有關在物聯網領域中使用智能技術的各個方面的章節,從協議到應用,旨在為讀者提供計算智能、機器學習和物聯網之間關聯的最新狀況。

作者簡介

Dr. Ch. Satyanarayana is currently working as Professor in the Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, AP, INDIA. He received his Ph.D. in 2007 from JNTU. He has 20+ years of teaching and research experience and 10 years of administrative experience in various capacities like Controller of Examinations, Head of the Department, and Director Academic and Planning. He has supervised 25 Ph.D. students and 200+ Master's Students. He is Senior Member of IEEE. His research interests include image processing, speech recognition, pattern recognition, network security and big data analytics, and computational intelligence.

Dr. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland in 1999. In January 2004, he was appointed as Docent (Adjunct Professor) at the same university. He is now working as Professor of data science at the University of Eastern Finland, Finland. He is also Guest Professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. Prof. Gao has published more than 400 technical papers on refereed journals and international conferences, and his current Google Scholar H-index is 32. His research interests are nature-inspired computing methods (e.g., neural networks, fuzzy logic, evolutionary computing, swarm intelligence, and artificial immune systems) with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.

Dr. Choo-Yee Ting is currently working as Associate Professor at the Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia. He is also Deputy Dean of the Institute for Postgraduate Studies, Multimedia University. In year 2002, Choo-Yee Ting was awarded the Fellow of Microsoft Research by Microsoft Research Asia, Beijing, China. He has been active in research projects related to predictive analytics and Big Data. Most of the projects were funded by MOE, MOSTI, Telekom Malaysia, MDeC, and industries. In year 2014, he and his team members won two national-level Big Data Analytics competitions. Dr. Ting has been the trainer for MDeC and INTAN for courses related to Big Data and Data Science. He is also Consultant, Mentor, and assessor for projects under MDeC funding. Currently he is working on Trouble Ticket Resolution prediction for Telekom Malaysia, AirAsia seat capacity optimization, and Dengue outbreak prediction for the government of Philippines. Dr. Ting is certified in Microsoft Technology Associate (Database), IBM DB2 CDA, and the Coursera Data Science Specialization (John Hopkins University).

Dr. Naresh Babu Muppalaneni is currently working as Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Silchar. He received his M.Tech. from Andhra University and Ph.D. from Acharya Nagarjuna University. He has published more than 30 papers in different International journals, book chapters, conference proceedings, and edited research volumes. He has published 5 volumes in Springer Briefs in Forensic and Medical Bioinformatics. He is Fellow of IETE, Life Member of CSI, Member of ISCA, and Senior Member of IEEE. He is a recipient of Best Teacher Award from JNTU Kakinada. He has completed research projects worth of 2 crore rupees from DST, DRDO. He has organized 6 International Conferences and 4 Workshops. His research interests are artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, social network analysis computational systems biology, bioinformatics, and cryptography.

作者簡介(中文翻譯)

Dr. Ch. Satyanarayana 目前擔任印度安得拉邦卡基納達的賈瓦哈拉爾·尼赫魯科技大學計算機科學與工程系教授。他於2007年獲得JNTU的博士學位。他擁有超過20年的教學和研究經驗,以及10年的各種行政經驗,包括考試控制員、系主任和學術與規劃主任。他已指導25名博士生和200多名碩士生。他是IEEE的資深會員。他的研究興趣包括影像處理、語音識別、模式識別、網路安全、大數據分析和計算智能。

Dr. Xiao-Zhi Gao 於1993年和1996年分別在中國哈爾濱工業大學獲得學士和碩士學位。他於1999年在芬蘭赫爾辛基科技大學(現為阿爾托大學)獲得科技博士學位。2004年1月,他被任命為該大學的副教授(Docent)。他目前在芬蘭東方大學擔任數據科學教授。他同時也是中國哈爾濱工業大學、北京師範大學和上海海事大學的客座教授。高教授在同行評審的期刊和國際會議上發表了400多篇技術論文,目前他的Google Scholar H指數為32。他的研究興趣包括自然啟發的計算方法(例如神經網絡、模糊邏輯、演化計算、群體智能和人工免疫系統),以及其在優化、數據挖掘、機器學習、控制、信號處理和工業電子學中的應用。

Dr. Choo-Yee Ting 目前在馬來西亞Cyberjaya的多媒體大學計算與資訊學院擔任副教授。他同時也是多媒體大學研究生院的副院長。2002年,Choo-Yee Ting 獲得了微軟亞洲研究院頒發的微軟研究院研究員獎。他在預測分析和大數據相關的研究項目中非常活躍。大多數項目由教育部、科技部、馬來西亞電信、MDeC和各行業資助。2014年,他和他的團隊成員贏得了兩項國家級的大數據分析競賽。Dr. Ting 曾擔任MDeC和INTAN的培訓師,教授與大數據和數據科學相關的課程。他也是MDeC資助項目的顧問、導師和評估員。目前,他正在為馬來西亞電信進行故障票解決預測、AirAsia座位容量優化以及為菲律賓政府進行登革熱疫情預測。Dr. Ting 擁有微軟技術助理(數據庫)、IBM DB2 CDA和Coursera數據科學專業化(約翰霍普金斯大學)的認證。

Dr. Naresh Babu Muppalaneni 目前在國立技術學院Silchar的計算機科學與工程系擔任助理教授。他在安得拉大學獲得碩士學位,並在阿查里亞·納戈爾朱納大學獲得博士學位。他在不同的國際期刊、書籍章節、會議論文集和編輯的研究卷中發表了超過30篇論文。他在Springer Briefs in Forensic and Medical Bioinformatics出版了5卷。他是IETE的研究員、CSI的終身會員、ISCA的會員和IEEE的資深會員。他曾獲得JNTU Kakinada的最佳教師獎。他完成了價值2千萬盧比的DST和DRDO研究項目。他組織了6場國際會議和4場研討會。他的研究興趣包括生物醫學工程中的人工智能、人機互動及智能系統技術的應用、社交網絡分析、計算系統生物學、生物信息學和密碼學。

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