The detection of local outliers over high-volume data streams is critical for diverse real-time
applications in the real world, where the distributions in different subsets of the data tend to …

Electroencephalography (EEG) signals are frequently used in several areas, such as
diagnosis of diseases and BCI applications. It is important to remove noise sources for …

Introduction Defining accurate ageand sexspecific reference intervals (RIs) for hematology
parameters, especially for the pediatric population, is important for making an appropriate …

Observer-based counts and photo-identification are two well-established methods with an
extensive use in cetacean studies. Using these two methods, group size has been widely …

Introduction Indirect methods for reference interval (RI) establishment apply statistical
techniques to generate RIs for test result interpretation using stored laboratory data. They …

In recent years, classical fuzzy clustering-based neural networks (FCNNs) have been
successfully applied to regression tasks. The determination of the parameters such as …

Data cleaning and data filtering mechanism are an important tool for IoT (Internet of Things)
based Big Data and Cloud Computing technologies. In today's world, majority of the …

Health data are often not symmetric to be adequately modeled through the usual normal
distributions; most of them exhibit skewed patterns. They can indeed be modeled better …