Results 41 to 50 of about 569,016 (270)

Robust Incremental Outlier Detection Approach Based on a New Metric in Data Streams

IEEE Access, 2021
Detecting outliers in real time from multivariate streaming data is a vital and challenging research topic in many areas. Recently introduced the incremental Local Outlier Factor (iLOF) approach and its variants have received considerable attention as ...
Ali Degirmenci, Omer Karal
doaj   +1 more source

2mass/Hipparcos Extinctions and Distances in the Serpens - Aquila Region.IV. Error Propagation. Individual stars and mean values [PDF]

, 2011
We estimate errors from the application of the main sequence $(H-K)_0 \ vs. \ (J-H)_0$ and $(J-K)_0 \ vs. \ M_J$ relations on 2mass photometry to provide stellar extinctions and distances.
Knude, Jens
core   +1 more source

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou, Konstantina Dipla, Danai Faitatzidou, Fotini Iatridi, Areti Georgiou, Artemios Karagiannidis, Erasmia Sampani, Chrysostomos Dimitriadis, Aggelos Koutlas, Andreas Zafeiridis, Pantelis Sarafidis   +10 more
wiley   +1 more source

Implementation of MAD and Mean Absolute Deviation based Smoothing Algorithm for Displacement Data in Digital Image Correlation Technique [PDF]

, 2014
This study aims at obtaining smoothed strain fields from digital image correlation technique (DIC), by smoothing the displacement fields prior to strain computation.
Harilal, R, M, Ramji, Paul, K J
core  

Confidence intervals for median absolute deviations

Communications in Statistics - Simulation and Computation
The median absolute deviation (MAD) is a robust measure of scale that is simple to implement and easy to interpret. Motivated by this, we introduce interval estimators of the MAD to make reliable inferences for dispersion for a single population and ratios and differences of MADs for comparing two populations.
Chandima N. P. G. Arachchige, Luke A. Prendergast   +1 more
openaire   +2 more sources

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

A Hybrid Model for BGP Anomaly Detection Using Median Absolute Deviation and Machine Learning

IEEE Open Journal of the Communications Society
Detecting anomalies in the Border Gateway Protocol (BGP) has proved relevant in the cybersecurity field due to the protocol’s critical role in the Internet’s infrastructure. BGP vulnerabilities can lead to major disruptions and connectivity
Maria Andrea Romo-Chavero, Gustavo De Los Rios Alatorre, Jose Antonio Cantoral-Ceballos, Jesus Arturo Perez-Diaz, Carlos Martinez-Cagnazzo   +4 more
doaj   +1 more source

Detailed comparison of Milky Way models based on stellar population synthesis and SDSS star counts at the north Galactic pole

, 2012
We test the ability of the TRILEGAL and Besancon models to reproduce the CMD of SDSS data at the north Galactic pole (NGP). We show that a Hess diagram analysis of colour-magnitude diagrams is much more powerful than luminosity functions (LFs) in ...
Gao, Shuang, Grebel, Eva K., Just, Andreas   +2 more
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Using linear programming method to estimate parameters of linear regression model by absolute deviation [PDF]

المجلة العراقية للعلوم الاحصائية, 2011
This work deals with descriptive summary of linear programming subject, and describes least square method for estimating regression parameters. As well as using other methods in order to estimate the parameters unconventional on reduced variance (or ...
doaj   +1 more source