Deep Learning and IoT in Healthcare Systems
Paradigms and Applications
- Publisher's listprice GBP 82.99
-
39 648 Ft (37 760 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 7 930 Ft off)
- Discounted price 31 718 Ft (30 208 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
39 648 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Apple Academic Press
- Date of Publication 8 July 2024
- ISBN 9781774638118
- Binding Paperback
- No. of pages348 pages
- Size 234x156 mm
- Weight 589 g
- Language English
- Illustrations 75 Illustrations, black & white; 8 Illustrations, color; 6 Halftones, black & white; 69 Line drawings, black & white; 8 Line drawings, color; 23 Tables, black & white 577
Categories
Short description:
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide.
MoreLong description:
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide.
The authors explore the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text also offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.
Table of Contents:
1. Deep Learning for Healthcare 2. Role of AI in Healthcare 3. Case Studies: Healthcare and Deep Learning 4. Assistive Devices and IoT in Healthcare Functions 5. Impact of IoT in Healthcare-Assistive Devices 6. Smart Fall Detection Systems for Elderly Care 7. Smart Sensors Transform Healthcare System 8. Healthcare Applications of the Internet of Things (IoT) 9. Mobile-App-Enabled Systems for Healthcare 10. Energy-Efficient Network Design for Healthcare Services 11. Applying Data Mining to Detect the Mental State and Small Muscle Movements for Individuals with Autism Spectrum Disorder (ASD)
More
