
Deep Learning in Internet of Things for Next Generation Healthcare
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
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.
More details
Other editions
Additional editions


Persons
Professor P.K. Garg worked as a Vice Chancellor, Uttarakhand Technical University, Dehradun. Presently he is working in the department of Civil Engineering, IIT Roorkee, as a professor. He completed a B.Tech. (civil engineering) in 1980 and M.Tech. (civil engineering) in 1982, both from the University of Roorkee (now IIT Roorkee). He is a recipient of the Gold Medal at IIT Roorkee to stand first during the M.Tech program, Commonwealth Scholarship Award for doing his Ph.D. at the University of Bristol (UK), and Commonwealth Fellowship Award to carry out post-doctoral research work at the University of Reading (UK). He joined the Department of Civil Engineering at IIT Roorkee in 1982, and gradually advancing, his career rose to the position of Head of the department in 2015 at IIT Roorkee.
Professor Garg has published more than 300 technical papers in national and international conferences and journals. He has undertaken 26 research projects and provided technical services to 83 consultancy projects on various aspects of Civil Engineering, generating funds for the Institute. He has authored three text-books on remote sensing, theory and principles of geoinformatics, and introduction to unmanned aerial vehicles and produced two technical films on the story of mapping. He has developed several new courses and practical exercises in Geomatics Engineering. Besides supervising a large number of undergraduate projects, he has guided about 72 M.Tech. and 27 Ph.D. thesis students. He is instrumental in prestigious MHRD-funded projects on e-learning and the development of virtual labs, pedagogy and courses under NPTEL. He has served as an expert on various national committees, including the Ministry of Environment & Forest; EAEC Committee; NBA (AICTE); and Project Evaluation Committee, DST, New Delhi.
Professor Garg has reviewed a large number of papers for national and international journals. Considering the need to train human resources in the country, he has successfully organized 42 programs in advanced areas of surveying, photogrammetry, remote sensing, GIS, and GPS. He has successfully organized ten conferences and workshops. He is a life member of 24 professional societies, out of which he is a fellow of eight societies. For academic work, Professpr Garg has traveled widely, nationally and internationally.
Content
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.