Preferred Language
Articles
/
7BbbJ4cBVTCNdQwCADqP
Prediction of Ryznar Index for the treated water from WTPs on Al-Karakh side of Baghdad City using Artificial Neural Network (ANN) technique
...Show More Authors

In this research an Artificial Neural Network (ANN) technique was applied for the prediction of Ryznar Index (RI) of the flowing water from WTPs in Al-Karakh side (left side) in Baghdad city for year 2013. Three models (ANN1, ANN2 and ANN3) have been developed and tested using data from Baghdad Mayoralty (Amanat Baghdad) including drinking water quality for the period 2004 to 2013. The results indicate that it is quite possible to use an artificial neural networks in predicting the stability index (RI) with a good degree of accuracy. Where ANN 2 model could be used to predict RI for the effluents from Al-Karakh, Al-Qadisiya and Al-Karama WTPs as the highest correlation coefficient were obtained 92.4, 82.9 and 79.1% respectively. For Al-Dora WTP, ANN 3 model could be used as R was 92.8%.

Publication Date
Fri Mar 15 2019
Journal Name
Al-khwarizmi Engineering Journal
Theoretical Prediction of Optimum Chilled Water Distribution Configuration in Air Conditioning Terminal Unit
...Show More Authors

 The distribution of chilled water flow rate in terminal unit is a major factor used to evaluate the performance of central air conditioning unit. In this work, a theoretical chilled water distribution in the terminal units has been studied to predict the optimum heat performance of terminal unit. The central Air-conditioning unit model consists of cooling/ heating coil (three units), chilled water source (chiller), three-way and two-way valve with bypass, piping network, and pump. The term of optimization in terminal unit ingredient has two categories, the first is the uniform of the water flow rate representing in statically permanents standard deviation (minimum value) and the second category is the maximum heat transfer rate fro

... Show More
View Publication Preview PDF
Crossref
Publication Date
Thu Nov 01 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Study on the Prevalence of Intestinal Parasites Among Children Attending Al-Daura Health Centre-Baghdad
...Show More Authors

Abstract The present study on the prevalence of intestinal parasitic infection from July 2003 to July 2004 ,was conducted among children aged(less than 5 -14 )years attending AL-Daura Health Centre in Baghdad City .(350) specimen were choosen randomly and examined, 160(45.7%) of these were infected , 140 (87.5%) harboured one parasite while 20 (12.5%) harboured more than one parasite.190 (54.3%) were non infected with any of intestinal parasite . It was observed that the most common intestinal protozoa among children is Giardia lamblia, followed by Entamoeba histolytica and Blastocystis hominis with pre

... Show More
View Publication Preview PDF
Publication Date
Thu Jun 11 2026
Journal Name
Al Ghary Journal Of Economic And Administrative Sciences
The impact of strategic knowledge on strategic improvisation: an exploratory study of some private hospitals in the city of Baghdad
...Show More Authors

View Publication
Publication Date
Mon Dec 08 2025
Journal Name
Frontiers In Sustainable Cities
Smart and sustainable city Baghdad
...Show More Authors
Introduction

The Smart Sustainable City Baghdad (SSCB-App) initiative advances a novel, multi-sectoral framework for urban transformation in fragile and conflict-affected contexts. Conceived as both a technological innovation and a governance instrument, the SSCB-App operationalizes the principles of resilience, sustainability, and inclusivity within a city marked by protracted conflict, infrastructural collapse, and institutional fragmentation. Through the integration of real-time data analytics, interactive dashboards, and scenario-based simulations, the application systematically engages critical urban domains—energy, water, transportation, healthcare,

... Show More
View Publication
Scopus (1)
Crossref (1)
Scopus Clarivate Crossref
Publication Date
Fri Dec 01 2023
Journal Name
Iraqi Journal Of Physics
Assessment of Sustainable Urban Expansion with Land Use and Land Cover Changes for Al-Hillah City Using Remote Sensing and GIS Techniques
...Show More Authors

In the current study, remote sensing techniques and geographic information systems were used to detect changes in land use / land cover (LULC) in the city of Al Hillah, central Iraq for the period from 1990 - 2022. Landsat 5 TM and Landsat 8 OLI visualizations, correction and georeferencing of satellite visuals were used. And then make the necessary classifications to show the changes in LULC in the city of Al Hillah. Through the study, the results showed that there is a clear expansion in the urban area from 20.5 km2 in 1990 to about 57 km2 in 2022. On the other hand, the results showed that there is a slight increase in agricultural areas and water. While the arid (empty) area decreased from 168.7 km 2 to 122 km 2 in 2022. Long-term ur

... Show More
View Publication Preview PDF
Crossref (3)
Crossref
Publication Date
Thu Sep 05 2024
Journal Name
Herald Of The Bauman Moscow State Technical University. Series Natural Sciences Scientific-theoretical And Applied-science Journal.
Study the Efficiency of Titanium Dioxide Nanoparticles for Water Treatment from Conge Red Dye
...Show More Authors

A modified chemical method was used to prepare titanium dioxide nanoparticles (TiO2 NPs), which were diagnosed by several techniques: X-ray diffraction, Fourier transform infrared, field emission scaning electron microscopy, energy disperse X-ray, and UV-visible spectroscopy, which proved the success of the preparation process at the nanoscale level. Where the titanium oxide particles have an average particle size equal to 6.8 nm, titanium dioxide particles were used in the process of adsorption of Congo red dye from its aqueous solutions using a batch system. The titanium oxide particles gave an adsorption efficiency of Congo red dye up to more than 79 %. The experimental data of the adsorption process were analyzed with kinetic models and

... Show More
View Publication Preview PDF
Scopus (2)
Scopus
Publication Date
Fri Apr 22 2022
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
Developing models to predicting the effect of crises on construction projects using MLR technique
...Show More Authors

View Publication
Scopus (1)
Crossref (1)
Scopus Crossref
Publication Date
Tue Dec 27 2022
Journal Name
2022 3rd Information Technology To Enhance E-learning And Other Application (it-ela)
Diabetes Prediction Using Machine Learning
...Show More Authors

Diabetes is one of the increasing chronic diseases, affecting millions of people around the earth. Diabetes diagnosis, its prediction, proper cure, and management are compulsory. Machine learning-based prediction techniques for diabetes data analysis can help in the early detection and prediction of the disease and its consequences such as hypo/hyperglycemia. In this paper, we explored the diabetes dataset collected from the medical records of one thousand Iraqi patients. We applied three classifiers, the multilayer perceptron, the KNN and the Random Forest. We involved two experiments: the first experiment used all 12 features of the dataset. The Random Forest outperforms others with 98.8% accuracy. The second experiment used only five att

... Show More
View Publication
Scopus (6)
Crossref (5)
Scopus Crossref
Publication Date
Wed Jan 01 2020
Journal Name
Desalination And Water Treatment
Reducing endotoxin from dialysis water by using different disinfection processes
...Show More Authors

View Publication
Scopus (8)
Crossref (6)
Scopus Clarivate Crossref
Publication Date
Thu Mar 01 2007
Journal Name
Al-khwarizmi Engineering Journal
The Inverse Solution Of Dexterous Robot By Using Neural Networks
...Show More Authors

The inverse kinematics of redundant manipulators has infinite solutions by using conventional methods, so that, this work presents applicability of intelligent tool (artificial neural network ANN) for finding one desired solution from these solutions. The inverse analysis and trajectory planning of a three link redundant planar robot have been studied in this work using a proposed dual neural networks model (DNNM), which shows a predictable time decreasing in the training session. The effect of the number of the training sets on the DNNM output and the number of NN layers have been studied. Several trajectories have been implemented using point to point trajectory planning algorithm with DNNM and the result shows good accuracy of the end

... Show More
View Publication Preview PDF