Virtual Reality (VR) is a key industry for the development of the digital economy in the future.
Mobile VR has advantages in terms of mobility, lightweight and cost-effectiveness, which …

Based on the characteristics of behavioral patterns, this paper constructs a data-driven
knowledge discovery framework for smart education management. The aim is to realize …

With the emergence of intelligent services and applications powered by artificial intelligence
(AI), the Internet of Things (IoT) affects many aspects of our daily lives. Traditional …

Device to device (D2D) is becoming one of the critic technologies of green smart cities. The
uplink power allocation is investigated, when D2D users reuse subchannels of cellular …

Building future wireless systems that support services like digital twins (DTs) is challenging
to achieve through advances to conventional technologies like meta-surfaces. While artificial …

A hybridised form of direct and rule-based language processing is used in this paper to
present a Machine translation system from Sanskrit to Hindi. The divergence between …

Nowadays, data analysis is been the most important means to realize power scheduling in
smart grids. However, the sharp increase in business data of grids has posed great …

In modern smart cities, road networks are becoming more and more complicated, resulting
in more complex format of graphs. This brings many challenges to the forecasting of traffic …

With more and more active international connections, the complex scenes-aware machine
translation has been a novel concern in the area of natural language processing. Although …

In modern society where business development is booming, it is of great importance to
investigate location optimization of logistics distribution centers. In order to achieve greater …