In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

In image-based medical decision-making, different modalities of medical images of a given
organ of a patient are captured. Each of these images will represent a modality that will …

Smart cities fully utilize the new generation of Internet of Things (IoT) technology in the
process of urban informatization to optimize the urban management and service. However …

In order to explore the application value of deep learning denoising autoencoder (DAE) in
Internet-of-Things (IoT) fusion security, in this study, a hierarchical intrusion security …

With the proliferation of embedded technologies and wireless capabilities, today's vehicles
are no longer isolated mechanical machines. They become part of a hyper-connected …

The extensive propagation of industrial Internet of Things (IIoT) technologies has
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …

Intelligent control of traffic has significant influence on the scheduling efficiency of urban
traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the …

In order to protect industrial safety, improve the operation stability of the industrial control
system, conduct the response measures for network environment attacked by the external …

Identifying the family of malware can determine their malicious intent and attack patterns,
which helps to efficiently analyze large numbers of malware variants. Methods based on …

Abstract Internet of Things (IoT) is a pervasively-used technology for the last few years. IoT
technologies are also responsible for intensifying various everyday smart applications …