Cancer Prediction for Industrial Iot 4.0: A Machine Learning Perspective
暫譯: 工業物聯網 4.0 的癌症預測：機器學習視角

Gupta, Meenu, Jain, Rachna, Solanki, Arun

Cancer Prediction for Industrial Iot 4.0: A Machine Learning Perspective
  • 出版商: CRC
  • 出版日期: 2021-12-31
  • 售價: $5,870
  • 貴賓價: 9.5 折 $5,577
  • 語言: 英文
  • 頁數: 203
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032028785
  • ISBN-13: 9781032028781
  • 相關分類: Machine Learning、物聯網 IoT

    • 海外代購書籍(需單獨結帳)

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商品描述

Cancer Prediction for Industrial IoT 4.0: A Mining and Machine Learning Perspective explores the various cancers using Artificial Intelligence Techniques. It presents the rapid advancement in the existing predicting models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment are incorporated in the book. The wide variety of topics it presents offers readers multiple perspectives on various disciplines, including the number of chapters in the edited book.

The key features of this Edited Book are as follows:

- Fundamental, History, Reality and Challenges of Cancer

-Concepts and Analysis of different cancer in human

-Machine Learning-based Deep Learning and data mining Concepts in the prediction of cancer

-Prediction of cancer including different real-world examples

-Strategies and Tools for Prediction of cancer

-Future prospectus in cancer prediction and treatment

The main benefits of reading this book are as follows:

  • Readers can be able to understand the fundamental concepts and analysis of Cancer prediction and treatment

  • Readers can learn how to apply emerging technologies such as Machine Learning into practice to tackle challenges in s domains/fields of cancer with real-world scenarios.

  • Help guide the reader to the specific ideas, tools, and practices most applicable to the product/service development and innovation problems and opportunities.

  • Hands-on chapters contributed by the academicians and other professionals from reputed organizations provides and describes frameworks, applications, best practices and case studies on emerging cancer treatment and predictions.

This book will help the graduates, data scientists, machine learning users, doctors and analytics Managers.

商品描述(中文翻譯)

《工業物聯網 4.0 的癌症預測：從挖掘與機器學習的角度》探討了使用人工智慧技術的各種癌症。它通過應用機器學習技術，展示了現有預測模型的快速進展。本書中包含了機器學習在不同癌症預測和治療中的多種應用。它所呈現的多樣主題為讀者提供了對各個學科的多重視角，包括編輯書籍中的章節數量。

本編輯書的主要特點如下：
- 癌症的基本概念、歷史、現實與挑戰
- 人類不同癌症的概念與分析
- 基於機器學習的深度學習與數據挖掘概念在癌症預測中的應用
- 包括不同現實世界範例的癌症預測
- 癌症預測的策略與工具
- 癌症預測與治療的未來展望

閱讀本書的主要好處如下：
- 讀者能夠理解癌症預測與治療的基本概念與分析
- 讀者可以學習如何將新興技術如機器學習應用於實踐，以應對癌症領域中的挑戰與現實情境
- 幫助引導讀者找到最適合產品/服務開發與創新問題及機會的具體想法、工具和實踐
- 由知名機構的學者和其他專業人士貢獻的實作章節提供並描述了新興癌症治療與預測的框架、應用、最佳實踐和案例研究

本書將幫助畢業生、數據科學家、機器學習使用者、醫生和分析經理。

作者簡介

Dr. Meenu Gupta completed her PhD in Computer Science & Engineering with emphasis on Traffic Accident Severity problem from the Ansal University, Gurugram, India (2020), an M.Tech in Computer Sceince & Engineering from the M.D. U University, Rohtak, India (2010), and she graduated in Information Technology at the K.U.K University, Kurukshetra, India (2006). She is currently Associate Professor in Chandigarh University. She has 13 years of teaching experience. Her area of research are Machine Learning, Intelligent Systems, Data mining, with specific interest in, Artificial Intelligence, Image Processing and Analysis, Smart cities, Data Analysis, and human/brain-machine interaction. She also submitted one edited book of CRC press on Healthcare. She also have 4 authored book on engineering stream. She worked as a reviewer of many journal like, Big Data, CMC, Scientific Report, TSP, etc. She is a life member of ISTE and IAENG. She has authored or co-authored over 50 papers in refereed international journals (SCI/SCIE/WoS/Scopus/etc.), conferences, and more than 20 book chapters. She also chair IEEE international Conference and convened many workshop/FDP.

Dr. Rachna Jain, currently working as Assistant Professor(Computer Science Department) in Bharati Vidyapeeth's College of Engineering (GGSIPU) since 2007.She did her PHD from Banasthali Vidyapith in Computer Science in 2017.She received ME degree in year 2011 from Delhi college of engineering (Delhi University) with specialisation in Computer Technology and Applications. She did her B.tech (Computer Science) in 2006 from N.C College of Engineering, Kurukshetra University. Her current research interests are Cloud Computing, Fuzzy Logic, Network and information security, Swarm Intelligence, Big Data and IoT, Deep Learning and Machine Learning. She has contributed with more than 10 book chapters in various books . She has also served as Session Chair in various International Conferences. She is CO-PI of DST Project titled Design an autonomous intelligent drone for city surveillance.A total of 14+ Years of Academic / Research Experience with more than 50+ Publications in various National, International Conferences cum International Journals(Scopus/ISI/SCI) of High Repute.

Dr. Arun Solanki is working as Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India where he has been working since 2009. He has worked as Time Table Coordinator, member Examination, Admission, Sports Council, Digital Information Cell, and other university teams from time to time. He has received M.Tech. Degree in Computer Engineering from YMCA University, Faridabad, Haryana, India. He has received his Ph.D. in Computer Science and Engineering from Gautam Buddha University in 2014. He has supervised more than 60 M.Tech. dissertations under his guidance. His research interests span Expert System, Machine Learning, and Search Engines. He has published many research articles in SCI/ Scopus indexed International journals/conferences like IEEE, Elsevier, Springer, etc. He has participated in many international conferences. He has been a technical and advisory committee member of many conferences. He has organized several FDP, Conferences, Workshops, and Seminars. He has chaired many sessions at International Conferences. Arun Solanki is working as Associate Editor in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) IGI publisher. He has been working as Guest Editor for special issues in Recent Patents on Computer Science, Bentham Science Publishers. Arun Solanki is the editor of many Books with a reputed publisher like IGI Global, CRC and AAP. He is working as the reviewer in Springer, IGI Global, Elsevier, and other reputed publisher journals.

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the associate dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 350 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received several recognitions and best papers' awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 5.7), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.

作者簡介(中文翻譯)

梅努·古普塔博士於2020年在印度古魯格拉姆的安薩大學完成了計算機科學與工程博士學位，研究重點為交通事故嚴重性問題。她於2010年在印度羅塔克的M.D. U大學獲得計算機科學與工程碩士學位，並於2006年在印度庫魯克舍特拉的K.U.K大學獲得資訊科技學士學位。她目前是昌迪加爾大學的副教授，擁有13年的教學經驗。她的研究領域包括機器學習、智能系統、數據挖掘，特別關注人工智慧、影像處理與分析、智慧城市、數據分析以及人類/腦機互動。她還提交了一本由CRC出版社編輯的醫療保健書籍，並撰寫了4本工程領域的專著。她曾擔任多個期刊的審稿人，如Big Data、CMC、Scientific Report、TSP等。她是ISTE和IAENG的終身會員。她在國際期刊（SCI/SCIE/WoS/Scopus等）、會議上發表或共同發表了超過50篇論文，並撰寫了20多個書章。她還擔任IEEE國際會議的主席，並組織了多個工作坊/FDP。

拉奇娜·賈因博士自2007年以來在巴哈提維迪亞比特工程學院（GGSIPU）計算機科學系擔任助理教授。她於2017年在巴納斯塔利維迪亞比特獲得計算機科學博士學位。她於2011年在德里工程學院（德里大學）獲得計算技術與應用專業的碩士學位，並於2006年在庫魯克舍特拉大學的N.C.工程學院獲得計算機科學學士學位。她目前的研究興趣包括雲計算、模糊邏輯、網絡與信息安全、群體智能、大數據和物聯網、深度學習和機器學習。她在各種書籍中貢獻了超過10個書章，並在多個國際會議中擔任會議主席。她是名為“設計一個城市監控的自主智能無人機”的DST項目的共同負責人。擁有超過14年的學術/研究經驗，並在各種國內和國際會議及國際期刊（Scopus/ISI/SCI）上發表了50多篇論文。

阿倫·索蘭基博士自2009年以來在印度大諾伊達的高塔姆·布達大學計算機科學與工程系擔任助理教授。他曾擔任課程表協調員、考試、招生、體育委員會、數字信息小組及其他大學團隊的成員。他在印度哈里亞納邦法里達巴德的YMCA大學獲得計算機工程碩士學位，並於2014年在高塔姆·布達大學獲得計算機科學與工程博士學位。他在其指導下監督了超過60篇碩士論文。其研究興趣涵蓋專家系統、機器學習和搜索引擎。他在IEEE、Elsevier、Springer等SCI/Scopus索引的國際期刊/會議上發表了多篇研究文章，並參加了多個國際會議。他曾擔任多個會議的技術和諮詢委員會成員，並組織了多個FDP、會議、工作坊和研討會。他在國際會議上主持了多個會議。阿倫·索蘭基擔任《國際網路學習與教學技術期刊》（IJWLTT）IGI出版社的副編輯，並擔任《Recent Patents on Computer Science》特刊的客座編輯。他還是多本由IGI Global、CRC和AAP等知名出版社出版的書籍的編輯，並在Springer、IGI Global、Elsevier等知名出版社的期刊中擔任審稿人。

法迪·阿爾-圖爾曼教授於2011年在加拿大女王大學獲得計算機科學博士學位。他是賽普勒斯尼科西亞近東大學國際人工智慧與物聯網研究中心的研究副院長和創始主任。阿爾-圖爾曼教授是人工智慧工程系的負責人，並在智能物聯網系統、無線和移動網絡架構、協議、部署及人工智慧物聯網（AIoT）性能評估方面是領先的權威。他的出版歷史涵蓋350多篇SCI/E出版物，以及在重要會議上發表的多次主題演講和全體報告。他撰寫和編輯了40多本關於認知、安全和無線傳感器網絡在智能物聯網環境中部署的書籍，這些書籍由泰勒與法朗西斯、Elsevier、IET和Springer等知名出版社出版。他在頂級國際會議上獲得了多個獎項和最佳論文獎。他還獲得了Elsevier計算機通信期刊2015-2018年度的最佳研究論文獎，以及2018年土耳其安塔利亞科學大學的頂尖研究者獎。阿爾-圖爾曼教授曾主導多個國際研討會和工作坊，並目前擔任多個頂級期刊的書籍系列編輯和主要客座/副編輯，包括IEEE Communications Surveys and Tutorials（影響因子23.9）和Elsevier的可持續城市與社會（影響因子5.7），並組織有關人工智慧和物聯網最新研究主題的國際會議和研討會。

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