Deep learning and Iot in healthcare systems[electronic resource] :paradigms and applications
- 其他作者: Singh, Krishna Kant
- 出版: Palm Bay, FL : Apple Academic Press 2022.
- 版本: 1st ed.
- 稽核項: 1 online resource.
- 標題: Medical informatics. , Medical care , Medical care Data processing. , Data processing.
- ISBN: 1003055087 , 9781003055082
- ISBN: 9781774638118 , 9781771889322
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index.
- 摘要: "This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide. The authors look at the role and impact that deep learning and the IoT plays in healthcare systems, such as the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies. Deep Learning and IoT in Healthcare Systems: Paradigms and Applications provides an abundance of valuable and useful information for advanced students, scholars and researchers, and industry professionals working with healthcare systems backed by IoT and deep learning techniques"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.taylorfrancis.com/books/9781003055082
- 系統號: 005337969
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
"This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide. The authors look at the role and impact that deep learning and the IoT plays in healthcare systems, such as the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies. Deep Learning and IoT in Healthcare Systems: Paradigms and Applications provides an abundance of valuable and useful information for advanced students, scholars and researchers, and industry professionals working with healthcare systems backed by IoT and deep learning techniques"--
來源: Google Book
來源: Google Book
評分
