Cancer prediction for industrial Iot 4.0 a machine learning perspective / edited by Dr. Meenu Gupta, Associate Professor, Chandigarh University, Punjab, Dr. Rachna Jain, Assistant Professor, Bharati Vidyapeeth's College of Engineering, New Delhi, Dr. Arun Solanki, Gautam Buddha University, Noida, Dr. Fadi Al-Turjman, Near East University, Nicosia.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : C&Hl/CRC Press, 2022. |
| Description | 1 online resource |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Other author/creator | Gupta, Meenu, (Professor of computer science) |
| Other author/creator | Jain, Rachna D. |
| Other author/creator | Solanki, Arun, 1985- |
| Other author/creator | Al-Turjman, Fadi. |
| Series | Chapman & Hall/CRC internet of things: data-centric intelligent computing, informatics, and communication |
| Abstract | "This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It explores a comprehensive analysis of the gradual evolution of Industrial IoT 4.0 and machine learning technologies for establishing a new-generation and improving the productivity of healthcare industries. Covers the fundamentals, history, reality and challenges in Industrial IoT 4.0 D iscusses the concepts and analysis of Industrial IoT 4.0 Highlights machine learning-based deep learning and data mining concepts for automated Industrial 4.0 in the prediction of cancer Includes applications of industrial IoT 4.0 in the prediction of cancer with different real-world examples Focuses on strategies and tools for prediction of cancer in Industrial IoT 4.0 P resents case studies/success stories T alks about the future prospectus of Industrial IoT 4.0 This book is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Cancer prediction for industrial Iot 4.0 First edition. Boca Raton : C&Hl/CRC Press, 2022 9781032028781 |
| Genre/form | Electronic books. |
| LCCN | 2021032675 |
| ISBN | 9781000508666 (epub) |
| ISBN | 9781003185604 (ebook) |
| ISBN | (hardback) |
| ISBN | (paperback) |