Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem (PDF)
(Sprache: Englisch)
This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem and to better serve patients and stakeholders. It discusses machine vision, AI-driven...
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This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem and to better serve patients and stakeholders. It discusses machine vision, AI-driven computer vision, machine learning, deep learning, and AI-integrated IoT technologies.
Autoren-Porträt
Alex Khang is a professor of Information Technology, AI and data scientist, software industry expert, and the Chief of Technology Officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States.Vugar Abdullayev, Doctor of Technical Sciences, is an associate professor in the Computer Engineering Department at the Azerbaijan State Oil and Industry University, Baku, Azerbaijan.
Olena Hrybiuk, Doctor of Pedagogical Sciences, is an associate professor and researcher at the Faculty of Engineering, International Science and Technology University, National Academy of Sciences, Ukraine.
Arvind K. Shukla is a professor and head of department at the Department of Computer Applications, IFTM University, Moradabad, India.
Bibliographische Angaben
- 2024, 1. Auflage, 458 Seiten, Englisch
- Herausgegeben: Alex Khang, Vugar Abdullayev, Olena Hrybiuk, Arvind K. Shukla
- Verlag: Taylor & Francis
- ISBN-10: 1003837298
- ISBN-13: 9781003837299
- Erscheinungsdatum: 29.03.2024
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 18 MB
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Englisch
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