-
21
A Novel N-Input Voting Algorithm for X-by-Wire Fault-Tolerant Systems
Published 2014-01-01“…The results of analyzed evaluations through plots and statistical computations have demonstrated that this novel algorithm does not have the limitations of some popular voting algorithms such as median and weighted; moreover, it is able to significantly increase the reliability and availability of the system in the best case to 2489.7% and 626.74%, respectively, and in the worst case to 3.84% and 1.55%, respectively.…”
Get full text
Article -
22
A vibration damping optimization algorithm to solve flexible job shop scheduling problems with reverse flows
Published 2023-12-01“…Finally, the performance of the proposed algorithm is compared with a Genetic Algorithm (GA) by solving some randomly generated larger-size test problems, based on which the results are analyzed statistically. Computational results confirm the efficiency and effectiveness of the proposed algorithm and show that the VDO algorithm performs well.…”
Get full text
Article -
23
Multivariable Discriminant Analysis for the Differential Diagnosis of Microcytic Anemia
Published 2013-01-01“…Iron deficiency anemia and thalassemia are the most common causes of microcytic anemia. Powerful statistical computer programming enables sensitive discriminant analyses to aid in the diagnosis. …”
Get full text
Article -
24
A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data
Published 2024-01-01“…This study addresses the challenge of extracting valuable information and selecting key variables from large datasets, essential across statistics, computational science, and data science. In the age of big data, where safeguarding personal privacy is paramount, this study presents an online learning algorithm that leverages differential privacy to handle large-scale data effectively. …”
Get full text
Article -
25
-
26
PyBootNet: a python package for bootstrapping and network construction
Published 2025-02-01“…PyBootNet includes functions for data preprocessing, bootstrapping, correlation matrix calculation, network statistics computation, and network visualization. Results We show that PyBootNet generates robust bootstrapped network metrics and identifies significant differences in one or more network metrics between pairs of networks. …”
Get full text
Article -
27
Impact of Corona Virus on The Life Status of Kurdish People Living in Kurdistan Region of Iraq
Published 2020-05-01“…An online form (questionnaire) was used to collect the data among the researchers’ social media users, especially Facebook as the main platform. 643 participated in the study and filled out the form; however, 510 forms were accepted in terms of a statistical point of view. All statistical computations are enhanced using statistical method (SPSS 21). …”
Get full text
Article -
28
Statistical monitoring of dust phenomenon in Khuzestan province with hourly approach
Published 2021-03-01“…The method in this study is based on statistical computation of dust parameters and also the trend analysis of data based on Mann-Kendall test and spatial distribution maps of dust phenomena. …”
Get full text
Article -
29
Flanking monomer repeats define lower context complexity of sites containing single nucleotide polymorphisms in the human genome
Published 2016-01-01“…We have developed and applied novel statistical computational methods to analyze genetic text based on its complexity. …”
Get full text
Article -
30
Design and implementation of an asynchronous online course-based undergraduate research experience (CURE) in computational genomics.
Published 2024-09-01“…Here, we present how the instructional team distributed analysis needed to address these questions between students over a 7.5-week CURE and provided concurrent training in biology and statistics, computer programming, and professional development. …”
Get full text
Article -
31
-
32
-
33
Impact of dental treatments under general anesthesia on oral health-related quality of life in children: a comprehensive meta-analysis
Published 2025-01-01“…All meta-analysis statistical computation was carried out using the Hartung-Knapp-Sidik-Jonkman method for the random effects model. …”
Get full text
Article