Recently, anomaly detection in time-series data has received great attention from
researchers due to its importance in problem-solving and predicting future system events …

Environmental sustainability and optimization of ship operations are the main pillars driving
the maritime sector into the Machine Learning (ML) era. The present study proposes the use …

Gun violence and misuse pose great threat to the public safety. Real-time monitoring of gun
usage and gunshot events are very promising for effective gun control. However, most …

A multiphase annular brushless excitation system is widely used in large-capacity nuclear
power units. Accurate fault diagnosis of the rotating rectifier is of great significance to …

Using wearable sensors to identify human activities has elicited significant interest within the
discipline of ubiquitous computing for everyday facilitation. Recent research has employed …

Human activity recognition using sensor data has become a research hotspot in the field of
ubiquitous computing and has a wide range of application scenarios in real life. Effectively …

Uncertainty in perception, actuation, and the environment often require multiple attempts for
a robotic task to be successful. We study a class of problems providing (1) low-entropy …

In real life, many activities are performed sequentially. These activities must be carried out
sequentially, such as the assembly process in the manufacturing production process. This …

Peg-in-hole assembly of tightly fitting parts often requires multiple attempts. Parts need to be
put together by performing a wiggling motion of undetermined length and can get stuck …