| ISBN13: | 9789819792931 |
| ISBN10: | 9819792932 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 163 oldal |
| Méret: | 235x155 mm |
| Nyelv: | angol |
| Illusztrációk: | 25 Illustrations, black & white; 44 Illustrations, color |
| 700 |
Biomedical Engineering
EUR 139.09
Kattintson ide a feliratkozáshoz
This book brings together contributions from leading experts in the field, each addressing a critical area where AI and technology are making significant impacts. The chapters encompass a wide range of topics, from the application of machine learning in cancer grading and maternal health monitoring to the development of innovative wearable devices and advanced diagnostic tools. The book not only underscores the transformative potential of AI and technology in biomedical; but also serves as a vital resource for researchers, practitioners, and students. By showcasing the latest research and innovations, this book aims to inspire continued exploration and development in this dynamic and rapidly evolving field.
This book brings together contributions from leading experts in the field, each addressing a critical area where AI and technology are making significant impacts. The chapters encompass a wide range of topics, from the application of machine learning in cancer grading and maternal health monitoring to the development of innovative wearable devices and advanced diagnostic tools. The book not only underscores the transformative potential of AI and technology in biomedical; but also serves as a vital resource for researchers, practitioners, and students. By showcasing the latest research and innovations, this book aims to inspire continued exploration and development in this dynamic and rapidly evolving field.
Development of a Web-Based Maternal Health Monitoring System: Advancing Beyond Manual Record-keeping.- Development and Testing of a Home-based Phototherapy System for Neonatal Jaundice.- Non-Invasive Blood Glucose Monitoring Via Infrared Absorbance.- mpowering Predictive Maintenance of Medical Equipment through AI[1]Driven Condition Monitoring.- Multi-Label Convolutional Neural Network For Multiple Diseases Detection In Chest Radiographs.- Artificial Intelligence in Prosthetic Gait Assessment and Prosthesis Control: Present and Future.- Preliminary Analysis of Ultrasound Features for Detection of Polycystic Ovary Syndrome (PCOS) in Women.- Mechanomyography Analysis of Respiratory Muscle Function while Singing in Spinal Cord Injury.
