In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Cloud Computing is a well-established paradigm for building service-centric systems.
However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations …

In the last few years, Internet of Things, Cloud computing, Edge computing, and Fog
computing have gained a lot of attention in both industry and academia. However, a clear …

Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …

Fog computing provides computation, storage and network services for smart manufacturing.
However, in a smart factory, the task requests, terminal devices and fog nodes have very …

The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

The industrial applications in the cloud do not meet the requirements of low latency and
reliability since variables must be continuously monitored. For this reason, industrial internet …

Expeditious technical developments have remodeled the industrial sector. These
developments vary from mechanization of industrial tasks to autonomous industrial …

The fifth era of the industry (Industry 5.0) has been marked by the reformation witnessed in
consumer electronics sector by bringing forth technology that could enhance efficiency …

Industry 4.0 is based on machine learning and advanced digital technologies, such as
Industrial-Internet-of-Things and Cyber-Physical-Production-Systems, to collect and process …