It takes the average reader 7 hours and 25 minutes to read Deep Learning and Iot in Healthcare Systems by Krishna Kant Singh
Assuming a reading speed of 250 words per minute. Learn more
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. The authors look at the role and impact that deep learning and the IoT plays in healthcare systems, such as 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 offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.
Deep Learning and Iot in Healthcare Systems by Krishna Kant Singh is 442 pages long, and a total of 111,384 words.
This makes it 149% the length of the average book. It also has 136% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 8 minutes to read Deep Learning and Iot in Healthcare Systems aloud.
Deep Learning and Iot in Healthcare Systems is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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