Applications of AI for Interdisciplinary Research
暫譯: 人工智慧在跨學科研究中的應用

Gill, Sukhpal Singh

Applications of AI for Interdisciplinary Research
  • 出版商: CRC
  • 出版日期: 2026-07-20
  • 售價: $2,540
  • 貴賓價: 9.5 折 $2,413
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032740108
  • ISBN-13: 9781032740102
  • 相關分類: Machine Learning、Data-visualization、物聯網 IoT

    • 尚未上市，無法訂購

相關主題

商品描述

Applying artificial intelligence (AI) to new fields has made AI and data science indispensable to researchers in a wide range of fields. The proliferation and successful deployment of AI algorithms are fuelling these changes, which can be seen in fields as disparate as healthcare and emerging Internet of Things (IoT) applications. Machine learning techniques, and AI more broadly, are expected to play an ever-increasing role in the modelling, simulation, and analysis of data from a wide range of fields by the interdisciplinary research community. Ideas and techniques from multidisciplinary research are being utilised to enhance AI; hence, the connection between the two fields is a two-way street at a crossroads. Algorithms for inference, sampling, and optimisation, as well as investigations into the efficacy of deep learning, frequently make use of methods and concepts from other fields of study. Cloud computing platforms may be used to develop and deploy several AI models with high computational power. The intersection between multiple fields, including math, science, and healthcare, is where the most significant theoretical and methodological problems of AI may be found. To gather, integrate, and synthesise the many results and viewpoints in the connected domains, refer to it as interdisciplinary research. In light of this, the theory, techniques, and applications of machine learning and AI, as well as how they are utilised across disciplinary boundaries, are the main areas of this research topic.

  • This book apprises the readers about the important and cutting-edge aspects of AI applications for interdisciplinary research and guides them to apply their acquaintance in the best possible manner
  • This book is formulated with the intent of uncovering the stakes and possibilities involved in using AI through efficient interdisciplinary applications
  • The main objective of this book is to provide scientific and engineering research on technologies in the fields of AI and data science and how they can be related through interdisciplinary applications and similar technologies
  • This book covers various important domains, such as healthcare, the stock market, natural language processing (NLP), real estate, data security, cloud computing, edge computing, data visualisation using cloud platforms, event management systems, IoT, the telecom sector, federated learning, and network performance optimisation. Each chapter focuses on the corresponding subject outline to offer readers a thorough grasp of the concepts and technologies connected to AI and data analytics, and their emerging applications

商品描述(中文翻譯)

應用人工智慧（AI）於新領域，使得AI和數據科學對於各個領域的研究者變得不可或缺。AI演算法的普及和成功部署正在推動這些變化，這些變化可以在醫療保健和新興的物聯網（IoT）應用等截然不同的領域中看到。機器學習技術，以及更廣泛的AI，預計將在跨學科研究社群中，對來自各個領域的數據建模、模擬和分析發揮越來越重要的作用。來自多學科研究的思想和技術正在被用來增強AI；因此，這兩個領域之間的聯繫是一條雙向街道，正處於交叉路口。推理、取樣和優化的演算法，以及對深度學習有效性的研究，經常利用其他研究領域的方法和概念。雲計算平台可以用來開發和部署多個具有高計算能力的AI模型。數學、科學和醫療保健等多個領域的交集，是AI最重要的理論和方法論問題所在。將其稱為跨學科研究，以收集、整合和綜合相關領域中的多種結果和觀點。基於此，機器學習和AI的理論、技術和應用，以及它們如何跨學科界限使用，是本研究主題的主要領域。

- 本書向讀者介紹了AI應用於跨學科研究的重要和前沿方面，並指導他們以最佳方式應用其知識。
- 本書的編寫旨在揭示通過高效的跨學科應用使用AI所涉及的風險和可能性。
- 本書的主要目標是提供有關AI和數據科學領域技術的科學和工程研究，以及它們如何通過跨學科應用和類似技術相關聯。
- 本書涵蓋了多個重要領域，如醫療保健、股市、自然語言處理（NLP）、房地產、數據安全、雲計算、邊緣計算、使用雲平台的數據可視化、事件管理系統、物聯網、電信行業、聯邦學習和網絡性能優化。每一章都專注於相應的主題大綱，以提供讀者對與AI和數據分析相關的概念和技術及其新興應用的全面理解。

作者簡介

Dr. Sukhpal Singh Gill (FHEA) is a Assistant Professor in Cloud Computing at School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London (QMUL), UK and he is a member of Network Research Group. Prior to this, Dr. Gill has held positions as a Research Associate at Evolving Distributed Systems Lab at the School of Computing and Communications, Lancaster University, UK and also as a Postdoctoral Research Fellow at the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Australia. He has published his PGCAP/PGCert work in highly-ranked Education Conferences and Journals. Before joining CLOUDS Lab, Dr. Gill worked in the Computer Science and Engineering Department of Thapar University, India, as a Lecturer. Dr. Gill received a Doctoral Degree specialization in Autonomic Cloud Computing from Thapar University. He worked as a Senior Research Fellow (Professional) on DST Project, Government of India. Dr. Gill was a research visitor at Monash University, University of Manitoba, University of Manchester and Imperial College London. He has recieved several awards. He has also served as the PC member for various venues. He has co-authored 150+ peer-reviewed papers and has published in prominent international journals and conferences. He serves as a Guest Editor and is a regular reviewer for multiple journals. He has also edited multiple research books He has also written for magazines such as Ars Technica, Tech Monitor, Cutter Consortium and ICT Academy. For further information, visit www.ssgill.me.

作者簡介(中文翻譯)

Dr. Sukhpal Singh Gill (FHEA) 是英國倫敦女王瑪莉大學 (Queen Mary University of London, QMUL) 電子工程與計算機科學學院 (School of Electronic Engineering and Computer Science, EECS) 的雲計算助理教授，並且是網絡研究小組的成員。在此之前，Gill 博士曾擔任英國蘭卡斯特大學 (Lancaster University) 計算與通信學院 (School of Computing and Communications) 的研究助理，以及澳大利亞墨爾本大學 (The University of Melbourne) 計算與信息系統學院 (School of Computing and Information Systems) 的雲計算與分佈式系統 (CLOUDS) 實驗室的博士後研究員。他在高排名的教育會議和期刊上發表了他的 PGCAP/PGCert 研究成果。在加入 CLOUDS 實驗室之前，Gill 博士曾在印度塔帕爾大學 (Thapar University) 的計算機科學與工程系擔任講師。Gill 博士在塔帕爾大學獲得自動雲計算專業的博士學位。他曾在印度政府的 DST 項目中擔任高級研究員 (專業)。Gill 博士曾在莫納什大學 (Monash University)、曼尼托巴大學 (University of Manitoba)、曼徹斯特大學 (University of Manchester) 和倫敦帝國學院 (Imperial College London) 擔任研究訪客。他獲得了多項獎項，並且曾擔任多個會議的程序委員會成員。他共同撰寫了超過 150 篇經過同行評審的論文，並在知名的國際期刊和會議上發表。他擔任多個期刊的客座編輯，並定期擔任審稿人。他還編輯了多本研究書籍，並為《Ars Technica》、《Tech Monitor》、《Cutter Consortium》和《ICT Academy》等雜誌撰稿。欲了解更多信息，請訪問 www.ssgill.me。

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