ARTICLES

Filter  
Active filters 0
Remove
  

Refine your searches by:

Collections
Biology
Technology
Public health
Computing
Medicine / Sub specialtie
Research
Pure sciences
Computing
Architecture and Urbanism
Chemistry
all records (76)

Languages
English
Spanish
German
Portuguese

Countries
Indonesia
USA
Brazil
Ukraine
Italy
India
Romania
Iran
Pakistan
South Africa
all records (78)

Years
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
all records (24)

Filter  
 
12.018  Articles
1 of 1.203 pages  |  10  records  |  more records»
Air temperature is an important data for several sectors. The demand of fast, exact and accurate forecast on temperature data is getting extremely important since it is useful for planning of several important sectors. In order to forecast mean daily temp... see more

Rough set theory is used to handle uncertainty and incomplete information by applying two sets, lower and upper approximation. In this paper, the clustering process is improved by adapting the preliminary centroid selection method on rough K-means (RKM) a... see more

Using conventional statistics, we have developed a new method for cell culture analysis through outlier detection techniques. Statistical methods enable researchers in microbiology to identify experimental parameters that are critical for colony... see more

The observations in geodetic networks are measured repetitively and in the networkadjustment step, the mean values of these original observations are used. The meanoperator is a kind of Least Square Estimation (LSE). LSE provides optimal resultswhen rando... see more

Outliers identification is essential in data analysis since it can make wrong inferential statistics. This study aimed to compare the performance of Boxplot, Generalized Extreme Studentized Deviate (Generalized ESD), and Sequential Fences method in identi... see more

Outliers identification is essential in data analysis since it can make wrong inferential statistics. This study aimed to compare the performance of Boxplot, Generalized Extreme Studentized Deviate (Generalized ESD), and Sequential Fences method in identi... see more

The amount of data produced in an echo sounder has grown exponentially with scanning systems such as multibeam echo sounders and interferometric sonars, providing a considerable improvement in the submerged relief representation, especially to detect haza... see more

The current work proposes and investigates a new method to identify outliers in multivariate numerical data, driving its roots in projection pursuit. Projection pursuit is basically a method to deliver meaningful linear combinations of attribute... see more

In a data set, an outlier refers to a data point that is considerably different from the others. Detecting outliers provides useful application-specific insights and leads to choosing right prediction models. Outlier detection (also known as anomaly detec... see more

1 of 1.203 pages  |  10  records  |  more records»