Mining valuable hidden knowledge from large-scale data relies on the support of reasoning
technology. Knowledge graphs, as a new type of knowledge representation, have gained …

Objective To provide an overview of video interventions used for patient information and
education, and of the tools used to evaluate their effectiveness, in order to consider the …

One-off sequential pattern mining (SPM)(or SPM under the one-off condition) is a kind of
repetitive SPM with gap constraints, and has been widely applied in many fields. However …

Smoke detection is a key process for fire warning systems. However, the existing smoke
detection methods are insufficient to extract precise smoke features due to the smoke's …

We consider feedback control systems where sensor readings and actuator commands may
be compromised by an attacker intending to damage the system. We study this problem at …

Popular smartphone apps may receive several thousands of user reviews containing
statements about apps' functionality, interface, user-friendliness, etc. They sometimes also …

Abstract Moving Target Defense (MTD) has emerged as a game changer to reverse the
asymmetric situation between attackers and defenders, and as one of the most effective …

In experiments on rats, five diets without or supplemented with polyphenol extracts from
different sources (flavons from skullcap, catechins from green tea, anthocyanins from …

Acne seriously affects people's daily life. Acne severity level grading plays a decisive role in
the cure. However, the acne criterion is not unified in the medical field. Most of the current …

The vast body of research in the Android malware detection domain has demonstrated that
machine learning can provide high performance for mobile malware detection. However, the …