Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …

With the rise of the Internet of Things (IoT), applications have become smarter and
connected devices give rise to their exploitation in all aspects of a modern city. As the …

Computer networks intrusion detection systems (IDSs) and intrusion prevention systems
(IPSs) are critical aspects that contribute to the success of an organization. Over the past …

To protect the network, resources, and sensitive data, the intrusion detection system (IDS)
has become a fundamental component of organizations that prevents cybercriminal …

BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Social media bots (automated accounts) attacks are organized crimes that pose potential
threats to public opinion, democracy, public health, stock market and other disciplines. While …

In the last two decades, improvements in materials, sensors and machine learning
technologies have led to a rapid extension of electronic nose (EN) related research topics …

With the rapid technological development of society brought on by Artificial Intelligence (AI),
the demand for AI-literate workers will increase in the future. It is critical to develop the next …

Agriculture farms such as crop, aquaculture and livestock have begun the implementation of
Internet of Things (IoT) and artificial intelligence (AI) technology in improving their …

More than 50% of cancer patients are treated with radiotherapy, either exclusively or in
combination with other methods. The planning and delivery of radiotherapy treatment is a …