Wav2vec 2.0 is a recently proposed self-supervised framework for speech representation
learning. It follows a two-stage training process of pre-training and fine-tuning, and performs …

This paper proposes a novel deep learning-based radio frequency fingerprint (RFF)
identification method for internet of things (IoT) terminal authentications. Differential …

The automotive industry, a key part of industrial Internet of Things, is now converging with
cognitive computing (CC) and leading to industrial cognitive Internet of Vehicles (CIoV). As …

Sign language recognition aims to recognize meaningful movements of hand gestures and
is a significant solution in intelligent communication between the deaf community and …

Recent network research has demonstrated that the performance of convolutional neural
networks can be improved by introducing a learning block that captures spatial correlations …

Convolutional neural networks (CNNs) have recently shown excellent performance on the
task of fine-grained vehicle classification, where the motivation is to identify the fine-grained …

The idea of big data has gained extensive attention from governments and academia all
over the world. It is especially relevant for the establishment of a smart city environment …

With the ongoing development and improvement of deep learning technology, autonomous
vehicles (AVs) have made tremendous progress in recent years. Despite its great potential …

Traditional surveillance systems for observing water levels are often complex, costly, and
time-consuming. In this paper, we developed a low-cost unmanned surveillance system …

Fog computing is an encouraging technology in the coming generation to pipeline the
breach between cloud data centers and Internet of Things (IoT) devices. Fog computing is …