The limitations of mobile devices have attracted researchers to work out an energy-efficient
mechanism to enhance user experience. The emerging mobile cloud computing (MCC) …

The convolutional neural network (CNN) as acoustic model is introduced into speech
recognition system based on mobile computing. To improve speech accuracy, two optimised …

Vehicular ad hoc networks (VANET) are gaining popularity for enabling a wide range of
applications for road traffic safety, infotainment and road transportation management. For …

Recently, cloud computing has become a promising distributed processing paradigm to
deploy various kinds of non-trivial applications. In those applications, most of them are …

According to the carbon dioxide (CO2) characteristics of weak absorption in the ultraviolet
and visible (UV-VIS) bands, a measurement method based on spatial decomposed parallel …

El consumo de Internet ha tenido un crecimiento exponencial en la última década; debido a
la utilización de servicios en la nube, donde se encuentran servicios básicos desde el email …

Bandwidth demand forecasting is the basis and foundation of the power communication
network planning. For the traditional neural network learning, there are many problems …

Active queue management (AQM) can improve the network transmission performance and
reduce the delay of packets. However, most of previous algorithms cannot achieve the …