Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

The radio-over-fiber (RoF) technology has been widely studied during the past decades to
extend the wireless communication coverage by leveraging the low-loss and broad …

Converged access networks consolidating 5G and beyond and fixed optical fiber access are
expected to support future latency-sensitive human-to-machine applications over the Tactile …

Human-controlled and haptic feedback data in emerging Tactile Internet human-to-machine
(H2M) applications require stringent low-latency transmission. Understanding the traffic …

Solar Photo voltaic (PV) system's usage is increasing day by day as a substitute of energy
considering about the environmental factors. But at the same time its performance have a …

The explosive development of emerging telecommunication services has stimulated a huge
growth in bandwidth demand as people seek universal access to telecommunication …

The power system has undergone significant growth and faced considerable challenges in
recent decades, marked by the surge in energy demand and advancements in smart grid …

Loss identification is one of the main challenges facing by Energy Utilities Companies today.
The loss factor in Brazil was approximately 14% in 2018, where 6.6% are non-technical …

Machine learning (ML) technology is a learning technology that is developing yearly,
especially in scientific fields, for example, biochemistry [1],[2], meteorology [3],[4], economics …

Most snacks and food today use a lot of preservatives so that they last longer and don't spoil
quickly. The most commonly used preservative is formalin. Formalin is a toxic chemical that …