Special Issue on Advancements in Artificial Intelligence and Machine Learning Algorithms for Internet of Things, Cloud Computing and Big Data

摘要

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The cloud computing enables a user to use a network of remote servers hosted on the Internet to store, manage and process data, rather than a local server and personal computer. Fog computing is an extension of cloud computing to provide an enterprises network. Integration of IoT and fog computing has become a complex task. Nowadays, IoT devices such as wearable medical devices, smart traffic control devices, and various IoT sensors are continuously generated a massive amount of data. This huge amount of data is not possible to process by traditional tools and technologies. Hence, there is a need for scalable machine learning algorithms to process such massive amount of data. This special issue focuses on advancements in artificial intelligence and machine learning algorithms for internet of things, cloud computing and big data.