Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics (ePub)
Techniques and Applications
(Sprache: Englisch)
Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and Machine...
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Produktinformationen zu „Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics (ePub)“
Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and Machine Learning based biomedical and health related applications.
Autoren-Porträt
Sujata Dash is an Associate Professor at P.G. Department of Computer Science & Application, North Orissa University, at Baripada, India. Subhendu Kumar Pani is a Professor in the Department of Computer Science Engineering and also Research coordinator at Orissa Engineering College (OEC) Bhubaneswar.
Joel J. P. C. Rodrigues is a Professor at the Federal University of Piauí, Brazil; and senior researcher at the Instituto de Telecomunicações, Portugal.
Babita Majhi is an Assistant Professor in the department of Computer Science and Information Technology, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur, India.
Bibliographische Angaben
- 2022, 1. Auflage, 382 Seiten, Englisch
- Herausgegeben: Sujata Dash, Subhendu Kumar Pani, Joel J. P. C. Rodrigues, Babita Majhi
- Verlag: Taylor & Francis
- ISBN-10: 1000534057
- ISBN-13: 9781000534054
- Erscheinungsdatum: 10.02.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 43 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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