Natural Rivers Longitudinal Dispersion Coefficient Simulation Using Hybrid Soft Computing Model
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Publication Date
Sun Jan 01 2017
Journal Name
Kufa Journal For Nursing Sciences
Effectiveness of Simulation Techniques on the Nursing Students Knowledge toward Cardiopulmonary Resuscitation for Adults at College of Nursing/University of Baghdad
MM Abdulwahhab, kufa Journal for Nursing sciences, 2017 - Cited by 1
Publication Date
Tue Oct 25 2022
Journal Name
Vi. International Scientific Congress Of Pure, Applied And Technological Sciences
Publication Date
Mon Oct 22 2018
Journal Name
Journal Of Biodiversity And Environmental Sciences
Publication Date
Thu Sep 01 2016
Journal Name
Archives Of Toxicology
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Publication Date
Thu Dec 01 2022
Journal Name
Environmental Nanotechnology Monitoring & Management
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Publication Date
Thu Aug 18 2022
Journal Name
Dental Hypotheses
Publication Date
Thu Feb 27 2020
Journal Name
Journal Of Mechanics Of Continua And Mathematical Sciences
SUGGESTING MULTIPHASE REGRESSION MODEL ESTIMATION WITH SOME THRESHOLD POINT
Data-driven strategy
kernel
multiphase regression
robustness
threshold point
winsorization
The estimation of the regular regression model requires several assumptions to be satisfied such as "linearity". One problem occurs by partitioning the regression curve into two (or more) parts and then joining them by threshold point(s). This situation is regarded as a linearity violation of regression. Therefore, the multiphase regression model is received increasing attention as an alternative approach which describes the changing of the behavior of the phenomenon through threshold point estimation. Maximum likelihood estimator "MLE" has been used in both model and threshold point estimations. However, MLE is not resistant against violations such as outliers' existence or in case of the heavy-tailed error distribution. The main goal of t
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Publication Date
Sat Aug 01 2015
Journal Name
International Journal Of Computer Science And Mobile Computing
Publication Date
Sun Oct 01 2023
Journal Name
Baghdad Science Journal
Dynamics of Predator-prey Model under Fluctuation Rescue Effect
Coexistence
Kolmogorov analysis
Predator– prey model
Rescue effect
Stability analysis.
This paper presents a novel idea as it investigates the rescue effect of the prey with fluctuation effect for the first time to propose a modified predator-prey model that forms a non-autonomous model. However, the approximation method is utilized to convert the non-autonomous model to an autonomous one by simplifying the mathematical analysis and following the dynamical behaviors. Some theoretical properties of the proposed autonomous model like the boundedness, stability, and Kolmogorov conditions are studied. This paper's analytical results demonstrate that the dynamic behaviors are globally stable and that the rescue effect improves the likelihood of coexistence compared to when there is no rescue impact. Furthermore, numerical simul
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Publication Date
Thu Aug 13 2020
Journal Name
Journal Of Physics: Conference Series
Chaos in Beddington–DeAngelis food chain model with fear
Abstract<p>In the current paper, the effect of fear in three species Beddington–DeAngelis food chain model is investigated. A three species food chain model incorporating Beddington-DeAngelis functional response is proposed, where the growth rate in the first and second level decreases due to existence of predator in the upper level. The existence, uniqueness and boundedness of the solution of the model are studied. All the possible equilibrium points are determined. The local as well as global stability of the system are investigated. The persistence conditions of the system are established. The local bifurcation analysis of the system is carried out. Finally, numerical simulations are used t</p>
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