Data Science and Emerging Technologies: Proceedings of Daset 2023 (數據科學與新興技術:2023年數據科學與新興技術會議論文集)

Bee Wah, Yap, Al-Jumeily Obe, Dhiya, Berry, Michael W.

  • 出版商: Springer
  • 出版日期: 2024-04-27
  • 售價: $8,830
  • 貴賓價: 9.5$8,389
  • 語言: 英文
  • 頁數: 579
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819702925
  • ISBN-13: 9789819702923
  • 相關分類: Data Science
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4-5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

商品描述(中文翻譯)

本書收錄了2023年12月4日至5日在馬來西亞UNITAR國際大學舉行的國際數據科學與新興技術會議(DaSET 2023)的選定論文。本書展示了數據科學和新興技術的最新研究與應用。涵蓋的主題包括人工智慧、大數據技術、機器學習與深度學習、數據挖掘、優化演算法、區塊鏈、物聯網(IoT)、雲端運算、計算機視覺、網絡安全、擴增實境與虛擬實境、密碼學以及統計學習。

作者簡介

Professor Yap Bee Wah is the director of the Research and Consultancy Center at UNITAR International University Malaysia. She is the founding and general chair for DaSET2022: International Conference on Data Science and Emerging Technologies and the editor of the proceedings published in Lecture Notes on Data Engineering and Communications Technologies published by Springer. She was the conference chair of the International Conference on Soft Computing in Data Science (2015-2019 and 2021) and an editor of the SCDS conference proceedings published in the Springer CCIS series. She is also one of the editors of the book titled 'Supervised and Unsupervised Learning for Data Science' published by Springer Nature Switzerland AG 2020. She actively published papers in ISI and Scopus journals such as Expert Systems with Applications Journal of Statistical Computation and Simulation, Communications in Statistics-Computation and Simulation, Journal of Clinical and Translational Endocrinology, and Computers, Materials and Continua.

Professor Dhiya Al-Jumeily OBE is a professor of Artificial Intelligence and the president of eSystems Engineering Society. His research focus is on developing AI analytics for improving healthcare and the environment fulfilling the United Nations SDGs. His research has been well-recognized and featured in 300+ peer-reviewed articles, 40+ books/book chapters, and attracted over £7.5M. He has successfully supervised 25+ Ph.D. students to completion and has been an external examiner in UK and global universities. He is actively involved as a member of the editorial board/review committee for numerous international journals. He is the founder/general series chair of the IEEE International Conference on Developments in eSystems Engineering since 2007 and DASET since 2022. He was promoted and appointed by The Queen to the Most Excellent Order of the British Empire, "OBE-Ordinary Officers of the Civil Division of the said Most Excellent Order forthe "Services to Scientific Research".

Professor Michael W. Berry is the co-author and an editor of sixteen books covering topics in scientific computing, information retrieval, text/data mining, and data science. He is the co-editor of the Soft Computing in Data Science volumes from 2015 to 2021 and Data Science and Emerging Technologies 2022 proceedings by Springer. He is also the co-author of popular books published by Society for Industrial and Applied Mathematics: Understanding Search Engines: Mathematical Modeling and Text Retrieval, Second Edition, and Computational Information Retrieval. He has published over 115 refereed journals and conference publications. He is a member of SIAM, ACM, MAA, ASEE, and the IEEE Computer Society and is on the editorial board of Foundations of Data Science (AIMS) and the SIAM Journal on Matrix Analysis and Applications (SIAM). He is also a certified program evaluator for the Computing Accreditation Commission (CAC) of the Accreditation Board for Engineering and Technology, Inc. (ABET).

作者簡介(中文翻譯)

葉美華教授是馬來西亞國際大學UNITAR研究與諮詢中心的主任。她是DaSET2022:國際數據科學與新興技術會議的創始人及總主席,並擔任由Springer出版的《數據工程與通信技術講義筆記》會議論文的編輯。她曾擔任國際數據科學中的軟計算會議(2015-2019及2021)的會議主席,並擔任Springer CCIS系列出版的SCDS會議論文的編輯。她也是2020年由Springer Nature Switzerland AG出版的書籍《數據科學的監督學習與非監督學習》的編輯之一。她積極在ISI和Scopus期刊上發表論文,如《專家系統應用期刊》、《統計計算與模擬期刊》、《臨床與轉化內分泌學期刊》以及《計算機、材料與連續體》。

迪亞·阿爾-朱梅利教授(OBE)是人工智慧教授及電子系統工程學會的會長。他的研究重點在於開發AI分析,以改善醫療保健和環境,實現聯合國可持續發展目標(SDGs)。他的研究得到了廣泛認可,並在300多篇同行評審文章、40多本書籍/書章中發表,吸引了超過750萬英鎊的資金。他成功指導了25名以上的博士生完成學業,並在英國及全球大學擔任外部考官。他積極參與多個國際期刊的編輯委員會/審查委員會工作。自2007年以來,他是IEEE電子系統工程發展國際會議的創始人/總系列主席,自2022年以來也是DASET的總主席。他被女王晉升並任命為英國帝國勳章的優異成員(OBE),以表彰他在科學研究方面的貢獻。

邁克爾·W·貝瑞教授是十六本涵蓋科學計算、信息檢索、文本/數據挖掘和數據科學主題的書籍的共同作者和編輯。他是2015年至2021年《數據科學中的軟計算》卷和Springer出版的《數據科學與新興技術2022會議論文》的共同編輯。他也是由工業與應用數學學會出版的熱門書籍《理解搜索引擎:數學建模與文本檢索(第二版)》和《計算信息檢索》的共同作者。他已發表超過115篇經過審核的期刊和會議論文。他是SIAM、ACM、MAA、ASEE和IEEE計算機學會的成員,並在《數據科學基礎》(AIMS)和《SIAM矩陣分析與應用期刊》(SIAM)的編輯委員會中任職。他還是工程與技術認證委員會(ABET)計算認證委員會的認證計劃評估員。

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