Today data acquisition technologies come up with large datasets with millions of samples for
statistical analysis. This creates a tremendous challenge for pattern recognition techniques …

An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG)
signals, since the non-invasive nature and simplicity of the ECG exam. According to the …

The invention relates to a system and method of for mea suring the characteristics and
volume of drill cuttings. The system comprises at least one camera operably connected to a …

The annotation of large datasets is an issue whose challenge increases as the number of
labeled samples available to train the classifier reduces in comparison to the amount of …

Well drilling with core extraction is one of the most expensive procedures in the oil industry.
The potential alternative, which may open opportunities for cost-efficient acquisition of …

Particulate suspensions systems are present in various industrial sectors, vibrating screens
being some of the most versatile pieces of equipment for the separation of these two phases …

In the process of oil exploitation, the water level of an oil well can be predicted and the
position of reservoir can be estimated by measuring the water content of crude oil, with …

Downhole drilling incidents in offshore oil and gas fields pose a threat to wellbore safety.
Moreover, they are likely to develop into hazardous mishaps owing to delayed detection and …

Detecting down-hole incidents in the shale-gas well fracturing process plays an important
role in ensuring that the fracturing operations are carried out smoothly. This paper proposes …

We introduce a semi-supervised pattern classification approach based on the optimum-path
forest (OPF) methodology. The method transforms the training set into a graph, finds …