Currently and even more in the future, business, industry, finance and retail, healthcare,
media, entertainment, and many others, are and will be completely managed, coordinated …

Increasing the implication of growing data generated by the Internet of Things (IoT) brings
the focus toward extracting knowledge from the raw data derived from sensors. In the current …

Driven by the Internet of Things (IoT), a new computing model–Edge computing–is currently
evolving, which allows IoT data processing, storage and service supply to be moved from …

The Internet of Things (IoT) has revolutionized innovation to collect and store the information
received from physical objects or sensors. The smart devices are linked to a repository that …

Deep learning is a new approach to artificial intelligence that enables edge-computing
systems to learn from data and take decisions without human intervention. Edge computing …

N OWADAYS, billions of devices are connected to the In-ternet, enabling Internet of Things
(IoT) systems widely deployed, such as smart city, smart healthcare and intelligent plant, to …

In the present-day scenario, computing is migrating from the on-premises server to the cloud
server and now, progressively from the cloud to Edge server where the data is gathered from …

The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

The Internet of Things (IoT) now permeates our daily lives, providing important measurement
and collection tools to inform our every decision. Millions of sensors and devices are …