Cyber–physical systems (CPSs) are new types of intelligent systems that integrate
computing, control, and communication technologies, bridging the cyberspace and physical …

Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

Cyber-physical systems (CPSs) empower the integration of physical processes and cyber
infrastructure with the aid of ubiquitous computation resources and communication …

The introduction of deep learning (DL) technology can improve the performance of cyber–
physical systems (CPSs) in many ways. However, this also brings new security issues. To …

Ransomware attacks have emerged as one of the most significant cyberthreats faced by
organizations worldwide. In recent years, ransomware has also started to target critical …

Hybrid quantum and classical classification algorithms have provided a new solution to the
classification problem with machine learning methods under a hybrid computing …

Machine Learning (ML) models are susceptible to adversarial samples that appear as
normal samples but have some imperceptible noise added to them with the intention of …

Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …

The increased adoption of Artificial Intelligence (AI) presents an opportunity to solve many
socio-economic and environmental challenges; however, this cannot happen without …