Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …

The echo state network (ESN) is a cutting-edge reservoir computing technique designed to
handle time-dependent data, making it highly effective for addressing time series prediction …

For the monitoring and processing of network data, wireless systems are widely used in
many industrial applications. With the assistance of wireless sensor networks (WSNs) and …

In the recent era, the communication network with the support of many wireless technologies
is giving benefits for remote access. Such a communication model increases the flexibility for …

Cyber-physical-social-systems interconnect diverse technologies and communication
infrastructure to the Internet for environmental sensing and computation. They offer many …

Abstract The Internet of Things (IoT) and smart technologies perform a vital role in gathering
data to facilitate extreme environments. These systems offer an autonomous management of …

In recent decades, artificial intelligence techniques have been adopted for many real-time
applications. The Internet of Things (IoT) network comprises many sensing devices and …

The rapid growth of sensing data demands compressed sensing (CS) in order to achieve
high-density storage and fast data transmission. Deep neural networks (DNNs) have been …

Presently, we are going towards a period of completely independent climate where things
will be finished in something like a second and without as much human impact. This has …