The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …

Novelty detection is a classification problem to identify abnormal patterns; therefore, it is an
important task for applications such as fraud detection, fault diagnosis and disease …

Abnormal Human Behavior Detection in Videos: A Review Page 1 Information Technology
and Control 2021/3/50 522 Abnormal Human Behavior Detection in Videos: A Review ITC 3/50 …

The rapid development of smart factories, combined with the increasing complexity of
production equipment, has resulted in a large number of multivariate time series that can be …

Electric induction motors are one of the most important and widely used classes of machines
in modern industry. Large motors, which are commonly process-critical, will usually have …

This paper proposes a method called autoencoder with probabilistic LightGBM (AED-LGB)
for detecting credit card frauds. This deep learning-based AED-LGB algorithm first extracts …

Network intrusion detection technology is key to cybersecurity regarding the Internet of
Things (IoT). The traditional intrusion detection system targeting Binary or Multi …

The need for huge data sets represents a bottleneck for the application of artificial
intelligence. Substantially fewer annotated target lesions than normal tissues for comparison …

Predictive systems are a crucial tool in management and decision-making in any productive
sector. In the case of agriculture, it is especially interesting to have advance information on …

The security of programmable logic controllers (PLCs) that control industrial systems is
becoming increasingly critical due to the ubiquity of the Internet of Things technologies and …