The role of Internet-of-Things (IoT) in precision agriculture and smart greenhouses has been
reinforced by recent R&D projects, growing commercialization of IoT infrastructure, and …

The electronic and electrical industrial sector is exponentially growing throughout the globe,
and sometimes, these wastes are being disposed of and discarded with a faster rate in …

Increasing waste generation has become a key challenge around the world due to the
dramatic expansion in industrialization and urbanization. This study focuses on providing …

The internet of things (IoT) is now able to incorporate an ample number of systems to
provide access to a large amount of data and services for the development of the ecosystem …

Business sectors face the advent of digitalisation, bringing attention to e-waste, or waste
generated from obsolete electrical and electronic appliances. In addressing this issue, the …

This chapter focuses on discovering the most significant disruptive technologies such as
artificial intelligence (AI), the Internet of Things (IoT), and cloud in data storage. Since …

The integration of machine intelligence (MI) which includes techniques such as machine
learning (ML), deep learning (DL), and artificial intelligence (AI), is increasingly being used …

Electronic waste is presently acknowledged as the rapidly expanding waste stream on a
global scale. Consequently, e-waste represents a primary global concern in modern society …

Abstract Internet of Things (IoT) makes connectivity between physical devices which are
embedded with sensors, software, and connectivity that let them to communicate and …

Purpose An efficient e-waste management system is developed, aided by deep learning
techniques. Here, a smart bin system using Internet of things (IoT) sensors is generated. The …