Handbook of Artificial Intelligence in Biomedical Engineering

Krishnan, Saravanan, Kesavan, Ramesh, Surendiran, B.

Handbook of Artificial Intelligence in Biomedical Engineering
  • 出版商: Apple Academic Press
  • 出版日期: 2021-03-30
  • 售價: $8,270
  • 貴賓價: 9.5 折 $7,857
  • 語言: 英文
  • 頁數: 538
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1771889209
  • ISBN-13: 9781771889209
  • 相關分類: 人工智慧

    • 海外代購書籍(需單獨結帳)

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商品描述

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications.

This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications.

The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

作者簡介

Saravanan Krishnan, PhD, is a Senior Assistant Professor in the Department of Computer Science & Engineering at Anna University, Regional Campus, Tirunelveli, Tamilnadu, India. He has 14 years of experience in academics and the IT industry and has published papers in 14 international conferences and 24 international journals. He has also written six book chapters and has edited three books with international publishers. He has done four research projects and two consultancy projects with the total worth of Rs.70 Lakhs. He is an active researcher and academician. Also, he is reviewer for many reputed journals published by Elsevier, Springer, IEEE, etc. He also received an outstanding reviewer certificate from Elsevier, Inc. He is a Mentor of Change for Atal Tinkering Lab of NITI Aayog. He has professional membership with several professional organizations. He has previously worked at Cognizant Technology Solutions, Pvt Ltd. as software associate. He earned his PhD in 2015 and completed his ME (Software Engineering) in 2007.

Ramesh Kesavan, PhD, is currently an Assistant Professor in the Department of Computer Applications, Anna University Regional Campus, Tirunelveli, India. His area of research includes cloud computing, big data analytics, data mining, and machine learning. He earned his PhD degree in Computer Science from Anna University, Chennai, India.

B. Surendiran, PhD, is an Associate Dean (Academic) and Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Puducherry, Karaikal, India. His research interests include medical imaging, machine learning, dimensionality reduction, and intrusion detection. He has published over 20 papers in international journals and has several conference publications to his credit. He is an active reviewer for various SCI and Scopus journals. He earned his PhD at the National Institute of Technology, Tiruchirappalli, India.

G. S. Mahalakshmi, PhD, is currently working as Associate Professor in the Computer Science and Engineering Department at College of Engineering, Anna University, Guindy, Chennai, India. She has vast research experience and has published 180 papers in reputed journals and international conferences. She is also deputy director for the Centre for Entrepreneurship Development, Anna University. She is an active reviewer for various SCI, Scopus journals. Her research interest includes machine learning, artificial intelligence, text mining, and natural language processing.

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