The Probability Density Function (PDF) is a key concept in statistics. Constructing the most adequate PDF from the observed data is still an important and interesting scientific problem, especially for large datasets. PDFs are often estimated using nonparametric data-driven methods. One of the most popular nonparametric method is the Kernel Density Estimator (KDE). However, a very serious drawb...

Real-time processing the information coming form video, infra-red or electro-optical sources is a challenging task due the uncertainties such as noise and clutter, but also due to the large dimensionalities of the problem and the demand for fast and efficient algorithms. This paper details an approach for automatic detection, single and multiple objects identification and tracking in video stre...

Background modelling algorithms are widely used to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring. Set up a background model on mobile platforms (UAVs, intelligent cars, etc.) is a challenging task due camera motion when images are acquired. In this paper, we propose A...

Although various studies have investigated the impacts of climate variability and human activities on drought, researches specifically analysing impact ecological drought are still limited. A deep understanding climatic anthropogenic effects processes is crucial for regulation management in changing environments. In present study, an integrated approach comprehensive quantification rivers was p...

Fault detection approach based on principal component analysis (PCA) may perform not well when the process is time-varying, because it can cause unfavorable influence on feature extraction. To solve this problem, a modified PCA which considering variance maximization is proposed, referred to as weighted PCA (WPCA). WPCA can obtain the slow features information of observed data in time-varying s...

Accurate information regarding the uncertainty of short-term forecast for aggregate wind power is a key to efficient and cost effective integration of wind farms into power systems. This paper presents a methodology for producing wind power forecast scenarios. Using historical wind power time series data and the Kernel Density Estimator (KDE), probabilistic wind power forecast scenarios were ge...

This paper describes how a Software Quality Observatory works to evaluate and quantify the quality of an Open Source project. Such a quality measurement can be used by organizations intending to deploy an Open Source solution to pick one of the available projects for use. We offer a case description of how the Software Quality Observatory will be applied to the KDE project to document and evalu...

The LIGO Scientific, Virgo and KAGRA Collaborations recently released the third gravitational wave transient catalog or GWTC-3, significantly expanding number of signals. To address the---still uncertain---formation channels source compact binaries, their population properties must be characterized. computational cost Bayesian hierarchical methods employed thus far scales with size event catalo...