This study proposes a modeling method of soft measurement of offshore wind speed using
Kernal Extreme Learning Machine (KELM). The soft measurement model of offshore wind …

Medical image annotation has significant potential to detect multiple tags. To detect specific
tags and labels, most of the conventional learning algorithms took difficulty in matching the …

This article is devoted to the intelligent optimization issue by means of PEO-FOCNN, ie, the
fractional-order convolutional neural networks (FOCNNs) with population extremal …

Precise and real-time prediction of future network attacks can not only prompt cloud
infrastructures to fast respond and protect network security, but also prevents economic and …

High-quality aircraft assembly is critical in aircraft manufacturing. To meet increasing quality
demands, the aircraft assembly process needs to be monitored in real time. In recent years …

Detection of cyber‐threats in the smart grid Supervisory Control and Data Acquisition
(SCADA) is still remains one of the complex and essential processes need to be highly …

Nowadays, with the occurrence of new attacks and raised challenges have been facing the
security of computer systems. Cyber security techniques have become essential for …

Many approaches have been proposed for detecting and categorizing malicious activities
over the years. The adversarial training process has recently been applied to solve this task …

In recent years, the industrial network has seen a number of high-impact attacks. To counter
these threats, several security systems have been implemented to detect attacks on …

In the field of natural language processing, sentiment analysis via deep learning has a
excellent performance by using large labeled datasets. Meanwhile, labeled data are …