April 2022
Intermediate to advanced
516 pages
22h 32m
English
book
Artificial Intelligence and Machine Learning for EDGE Computing
by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
Content preview from Artificial Intelligence and Machine Learning for EDGE Computing
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Chapter 30: AI cardiologist at the edge
A use case of a dew computing heart monitoring solution
Marjan Gusev Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Skopje, North Macedonia
Abstract
Postcloud architectures that tackle the Internet of things, pervasive, and ubiquitous computing are characterized by a plethora of applications. Edge computing solutions are based on introducing additional architectural layers for edge devices and edge servers between the cloud data centers and end-user devices to exploit the benefit of faster processing and smaller transfer requirements. An additional requirement of these smart devices on the edge for autonomous performance even without Internet support ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.