With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …

Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …

The increasing interest among manufacturers in monitoring and analyzing industrial systems
is generating a problem related to the considerable costs associated with the storage of the …

Inferring human operators' actions in shared collaborative tasks plays a crucial role in
enhancing the cognitive capabilities of industrial robots. In all these incipient collaborative …

The increasing interest among manufacturers in monitoring and analyzing industrial systems
is generating a problem related to the considerable costs associated with the storage of …

Market stakeholders, including traders and investors, strive to forecast stock market returns
for informed decision-making. Computational finance employs various tools such as …

Single image haze removal is an important task in computer vision. However, haze removal
is an extremely challenging problem due to it is massively ill-posed, which is that we need to …

Data pre-processing in smart manufacturing scenarios implies that data engineers must
have knowledge of many different techniques necessary for example to clean, segment …

The era of Industry 4.0 has already begun, however, several improvements should be
achieved concerning this revolution. Data mining is one of the modest and efficient tools …