Conversational AI has seen a growing interest among government, researchers, and
industrialists. This comprehensive survey paper provides an in-depth analysis of large …

Unmanned Aerial Vehicles (UAVs) have gained popularity across academia and various
industries due to their ability to operate in challenging and complex environments. They are …

Predicting traffic is the main duty of an intelligent transportation system (ITS). Precise traffic
forecasts can significantly enhance the use of public funds. However, the dynamic and …

Mobile traffic prediction is an important yet challenging problem in consumer applications
because of the dynamic nature of user behavior, varying application quality of service (QoS) …

Traditional surveillance video stream monitoring demands manual analysis, often leading to
inaccuracies. While recent advancements have enabled automated analysis in surveillance …

As the number of devices increases dramatically in the Internet of Things (IoT), features of
dense deployment of massive devices generate mutual interference in communication …

Federated learning emerges as a solution to the dilemma of data silos while safeguarding
data privacy, particularly relevant in the consumer electronics sector where user data privacy …

The impending 6G network is envisioned to seamlessly interconnect a myriad of consumer
electronics (CEs), facilitating a wide array of applications accessible from any location and at …

In this article, we propose a heterogeneous federated learning for classification (HFLC)
model, which divides features into sensitive and nonsensitive for the privacy concerns. The …

Mobile Edge Computing (MEC), with advantages in high bandwidth and low latency,
enables the development of numerous promising commercial services on edge servers near …