In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …

Information technology is continuously becoming a more central part of society and together
with the increased connectivity and inter-dependency of devices, it is becoming more …

In this paper, we present MARK, a data synthesis method to synthesize patterns for evolving
normal network behaviors as well as unknown network attacks for detection of an anomaly …

Cloud concepts such as resource sharing, outsourcing, and multi-tenancy create significant
challenges to the security community. Also, trusted third party and web technologies based …

This study addresses the critical issue of air quality, which significantly impacts human
health due to the presence of harmful particles from various pollution sources. The objective …

Vast knowledge abounds in the field of anomalies in software systems, especially when
these anomalies are rightly and wholly classified. However, it has been hard to find this …

With the rise of information technology and the dependence on these systems, it becomes
increasingly more important to keep the systems secure. The possibility to detect an …

In the technical industry machine learning and intelligent machine learning are becoming a
hot topic for research. Intelligent machine learning is also known as artificial intelligence (AI) …

Gözlenebilirlik, bir sistemin iç durumlarının, çıktılarına bakılarak tahmin edilme derecesini
ifade eder. Bir sistemin gözlenebilir olması, o sistemin tüm iç durumlarının dışarıdan alınan …