Real-time accurate passive seismic event detection is a critical safety measure across range of monitoring applications, from reservoir stability to carbon storage volcanic tremor detection. The most common procedure remains the short-term average long-term (STA/LTA) trigger developed in 1970s, part due its easy implementation and real-time processing capability. However, it has several well-do...

We have conducted a comparison between three types of recurrent neural networks and their ability to predict anomalies occurring in oil wells using publicly available dataset. included two well-known state-of-the-art new type with neurons evolved specifically for the dataset automatic programming. show that neuron offers massive improvement over state-of-the-art. The overall test accuracy netwo...

Recurrent event analysis has been a topic that has generated much attention in the last few years. The analysis of recurrent event data can be a complex task, with many different relationships and dependencies that need to be specified. One aspect of recurrent events that is difficult to specify, and even more complex to justify, is the relationship a subject’s rate of failure will have as even...

Multivariate recurrent event data are usually encountered in many clinical and longitudinal studies in which each study subject may experience multiple recurrent events. For the analysis of such data, most existing approaches have been proposed under the assumption that the censoring times are noninformative, which may not be true especially when the observation of recurrent events is terminate...

BACKGROUND Many children who are victims of non-accidental trauma (NAT) may be repeatedly evaluated for injuries related to maltreatment. The purpose of this study was to identify risk factors for repeated injuries in children with suspected NAT. METHODS We conducted a retrospective cohort study using claims data from a pediatric Medicaid accountable care organization. Children with birth cla...

Recurrent events are frequently encountered in biomedical studies. Evaluating the covariates effects on the marginal recurrent event rate is of practical interest. There are mainly two types of rate models for the recurrent event data: the multiplicative rates model and the additive rates model. We consider a more flexible additive-multiplicative rates model for analysis of recurrent event data...