The edge computing paradigm is becoming increasingly commercialized due to the
widespread adoption of wireless communication technologies and the growing demand for …

Upon the spreading of intelligent transportation technology, reconfigurable intelligent
surface (RIS) can be applied in traditional vehicular networks to assist autonomous driving …

Reinforcement learning (RL) is renowned for its proficiency in modeling sequential tasks
and adaptively learning latent data patterns. Deep learning models have been extensively …

In the ever-changing world of decision-making, when game theory and reinforcement
learning (RL) come together, they create a fascinating combination that shows a new way to …

This paper proposes a learning-based simulated annealing (LSA) algorithm to tackle the NP-
hard unequal area facility layout problem (UA-FLP). The goal of UA-FLP is to optimize the …

Deep changes are occurring in the components and forms of education as a result of the
ongoing integration and development of emerging technologies like cloud computing …

Mobile crowdsourcing (MCS) is a new paradigm that uses various mobile devices to collect
sensed data. Mobile edge computing (MEC) can effectively utilize the device resources of …

The knowledge graph, a networked structure designed to organize the vast and
heterogeneous knowledge existing in the real world, has gained widespread adoption as a …

Many people have suffered and even died from infectious diseases every year, especially in
cities with relatively high population density, which will no doubt jeopardize the society. In …

In recent years, nanotechnology has continued to develop, especially the use of
nanomaterials in various fields. Microcontroller is the most typical embedded system at this …