The way of dealing with a problem for obtaining the best outcome.
Published in Chapter:
Real-Time Problems to Be Solved by the Combination of IoT, Big Data, and Cloud Technologies
Shaila S. G. (Dayananda Sagar University, India), Monish L. (Dayananda Sagar University, India), and Rajlaxmi Patil (Dayananda Sagar University, India)
Copyright: © 2021
|Pages: 12
DOI: 10.4018/978-1-7998-3111-2.ch015
Abstract
This chapter brings out the perspective outcomes of combining three terminologies: artificial intelligence, cloud, and internet of things. The relation between artificial intelligence, machine learning, and deep learning is also emphasized. Intelligence, which is the capability to attain and apply knowledge in addition to skills, is analysed in the following sections of the chapter along with its categories that include natural intelligence, artificial intelligence, and hybrid intelligence. Analysis of artificial intelligence-based internet of things system is deliberated on two approaches, namely criterion-based analysis and elemental analysis. Criterion-based analysis covers the parameter-based investigation to highlight the relation between machine learning and deep learning. Elemental analysis involves four main components of artificial intelligence-based internet of things system, such as device, data, algorithm, and computation. Research works done using deep learning and internet of things are also discussed.