Deep Learning in Internet of Things for Next Generation Healthcare
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- Hardcover ausgewählt
- Taschenbuch
- eBook
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Sprache:Englisch
163,99 €
inkl. gesetzl. MwSt.,
Lieferung nach Hause
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
18.06.2024
Abbildungen
schwarz-weiss Illustrationen, Raster, schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Herausgeber
Lavanya Sharma + weitereVerlag
Taylor & FrancisSeitenzahl
310
Maße (L/B/H)
26/18,3/2,1 cm
Gewicht
453 g
Sprache
Englisch
ISBN
978-1-03-258610-6
This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes.
- Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics
- Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more
- Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare
- Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications
- Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges
Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.
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