in order to obtain maximum information from magnetic and gravity anomaly maps, application of an edgedetection method is necessary. in this regard two commonly used methods are derivative filters and local phase filters. in this paper, a matlab code is expanded to combine an analytic signal filter and a tilt angle filter as a new edge detection filter called asta filter. this method was demonst...

The risk of giving birth to a stillborn child or a child with severe congenital anomaly is higher for women who have immigrated to Europe as compared to the majority population in the receiving country. The literature, however, reveals great differences between migrant groups, even within migrants from low-income countries, although there is no clear pattern regarding refugee or non-refugee sta...

Anomaly and event detection has been studied widely for having many applications in fraud detection, network intrusion detection, detection of epidemic outbreaks, and so on. In this paper we propose an algorithm that operates on a time-varying network of agents with edges representing interactions between them and (1) spots "anomalous" points in time at which many agents "change" their behavior...

Sequential anomaly detection is a challenging problem due to the one-class nature of the data (i.e., data is collected from only one class) and the temporal dependence in sequential data. We present One-Class Conditional Random Fields (OCCRF) for sequential anomaly detection that learn from a one-class dataset and capture the temporal dependence structure, in an unsupervised fashion. We propose...

Tongue tie or ankyloglossia is a developmental anomaly of the tongue characterized by an abnormally short, thick lingual frenum resulting in limitation of tongue movement. It can be categorized into 2 typesTotal ankyloglossia and Partial ankyloglossia. Ankyloglossia can affect feeding, speech, and oral hygiene as well as have mechanical/social effects. This article reports two cases of ankylogl...

The advantage of graph-based anomaly detection is that the relationships between elements can be analyzed for structural oddities that could represent activities such as fraud, network intrusions, or suspicious associations in a social network. Traditionally, methods for discovering anomalies have ignored information about the relationships between people, e.g., who they know, or who they call....

for dissemination) Non-structured or unstructured data is data that doesn’t conform to an explicit and well-defined formal data model. This deliverable focuses on textual and network data. We discuss several statistical properties by which these types of data differ from more structured data. Trend and anomaly detection is the process of discovering patterns in the data that do not conform to n...

In this study, 115 samples taken from the stream sediments were analyzed for concentrations of As, Co, Cr, Cu, Ni, Pb, W, Zn, Au, Ba, Fe, Mn, Sr, Ti, U, V and Zr. In order to outline mineralization-derived stream sediments, various mapping techniques including fuzzy factor score, geochemical halos and fractal model were used. Based on these models, concentrations of Co, Cr, Ni, Zn, Ba, Fe, Mn, ...

background: several studies have assessed the correlation of fetal choroid plexus cyst (cpc) and the risk of congenital anomalies, but few ones have discussed isolated cpc (with no other abnormal sonographic finding). objective: the aim of this study was to determine the outcome of isolated fetal choroid plexus cyst and to specify its clinical significance. materials and methods: this cross sec...