Preferred Language
Articles
/
DxenW5IBVTCNdQwC2K3g
Intelligence framework dust forecasting using regression algorithms models
...Show More Authors

<span>Dust is a common cause of health risks and also a cause of climate change, one of the most threatening problems to humans. In the recent decade, climate change in Iraq, typified by increased droughts and deserts, has generated numerous environmental issues. This study forecasts dust in five central Iraqi districts using machine learning and five regression algorithm supervised learning system framework. It was assessed using an Iraqi meteorological organization and seismology (IMOS) dataset. Simulation results show that the gradient boosting regressor (GBR) has a mean square error of 8.345 and a total accuracy ratio of 91.65%. Moreover, the results show that the decision tree (DT), where the mean square error is 8.965, comes in second place with a gross ratio of 91%. Furthermore, Bayesian ridge (BR), linear regressor (LR), and stochastic gradient descent (SGD), with mean square error and with accuracy ratios of 84.365%, 84.363%, and 79%. As a result, the performance precision of these regression models yields. The interaction framework was designed to be a straightforward tool for working with this paradigm. This model is a valuable tool for establishing strategies to counter the swiftness of climate change in the area under study.</span>

Scopus Crossref
View Publication
Publication Date
Sun Jul 01 1990
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
THE INFLUENCE OF TEMPERATURE AND HUMIDITY ON THE BIOLOGY OF THE HOUSE DUST MITE DERMATOPHAGOIDES PTERONYSSINUS TROUESSART 1897 (ACARI : PYROGLYPHIDAE)
...Show More Authors

Duration of each developmental stage of the house dust mite Dermatophagoides pteronyssinus together with the mortality percentage were observed at a combination of five different temperatures namely 20C°, 22.5C°, 25C°, 27.5C° and 30C° and four different humidities namely 55%, 75%, 85% and 95% r. h. Results showed that temperature had the greatest effect on the life cycle period. The higher the temperature the shorter the life cycle was aid versa verea. On the other hand, humidity seems to be less effectiveness, though at the higher temperature and humidity no development was occured. Mortality among all temperatures and humidities appeared nearly the same, but at higher temperature and higher humidity and because of mould g

... Show More
View Publication Preview PDF
Publication Date
Wed Jan 11 2023
Journal Name
Modeling Earth Systems And Environment
Microfacies analysis and stratigraphic framework of the Albian succession in the low folded zone, Northern Iraq
...Show More Authors

View Publication
Scopus (1)
Scopus Clarivate Crossref
Publication Date
Mon Feb 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
Entrepreneurship Organizations In the framework of strategic leadership practices Field research in the Ministry of Oil))
...Show More Authors

Abstract

The labeled research deal with (Entrepreneurship Organizations In the framework of strategic leadership practices: Field research in the Ministry of Oil), Search over the possibility of the influence of the practices of strategic leadership Which include

(Determine the strategic direction, The discovery of the fundamental estimators and maintain it, The development of the human capital, and Maintaining of  an organizational culture influential, and Find a balanced regulatory Control) In a Entrepreneurship  in its dimensions and its (innovation, risk, pre-emptive and independence) On group of heads of departments and authorities

... Show More
View Publication Preview PDF
Crossref (3)
Crossref
Publication Date
Mon Dec 05 2022
Journal Name
Baghdad Science Journal
Proposed Framework for Official Document Sharing and Verification in E-government Environment Based on Blockchain Technology
...Show More Authors

Progression in Computer networks and emerging of new technologies in this field helps to find out new protocols and frameworks that provides new computer network-based services. E-government services, a modernized version of conventional government, are created through the steady evolution of technology in addition to the growing need of societies for numerous services. Government services are deeply related to citizens’ daily lives; therefore, it is important to evolve with technological developments—it is necessary to move from the traditional methods of managing government work to cutting-edge technical approaches that improve the effectiveness of government systems for providing services to citizens. Blockchain technology is amon

... Show More
View Publication Preview PDF
Scopus (9)
Crossref (5)
Scopus Crossref
Publication Date
Sat Jan 01 2022
Journal Name
The Journal Of Law Research
Ensuring the right to private property within the framework of the imposition of the arraat tax
...Show More Authors

AHA Al-Hilali, AAH Hamid, The Journal of Law Research, 2022

Publication Date
Thu Feb 01 2024
Journal Name
Journal Of Photochemistry And Photobiology A: Chemistry
Construction of co-zeolitic imidazolate framework/Bi2WO6 heterojunction photocatalyst with improved adsorption and photodegradation of ciprofloxacin
...Show More Authors

View Publication
Scopus (47)
Crossref (48)
Scopus Clarivate Crossref
Publication Date
Wed Feb 18 2026
Journal Name
Journal Of Administration And Economics
Bayesian Method in Classification Regression Tree to estimate nonparametric additive model compared with Logistic Model with Application
...Show More Authors

The use of Bayesian approach has the promise of features indicative of regression analysis model classification tree to take advantage of the above information by, and ensemble trees for explanatory variables are all together and at every stage on the other. In addition to obtaining the subsequent information at each node in the construction of these classification tree. Although bayesian estimates is generally accurate, but it seems that the logistic model is still a good competitor in the field of binary responses through its flexibility and mathematical representation. So is the use of three research methods data processing is carried out, namely: logistic model, and model classification regression tree, and bayesian regression tree mode

... Show More
View Publication Preview PDF
Publication Date
Mon Nov 09 2020
Journal Name
Construction Research Congress 2020
Alternative Risk Models for Optimal Investment in Portfolio-Based Community Solar
...Show More Authors

View Publication
Scopus Crossref
Publication Date
Thu Jan 01 2015
Journal Name
Mj Journal On Applied Mathematics
Mathematical models for estimation the concentration of heavy metals in soil
...Show More Authors

Publication Date
Thu Dec 01 2022
Journal Name
Al-khwarizmi Engineering Journal
Comparative Transfer Learning Models for End-to-End Self-Driving Car
...Show More Authors

Self-driving automobiles are prominent in science and technology, which affect social and economic development. Deep learning (DL) is the most common area of study in artificial intelligence (AI). In recent years, deep learning-based solutions have been presented in the field of self-driving cars and have achieved outstanding results. Different studies investigated a variety of significant technologies for autonomous vehicles, including car navigation systems, path planning, environmental perception, as well as car control. End-to-end learning control directly converts sensory data into control commands in autonomous driving. This research aims to identify the most accurate pre-trained Deep Neural Network (DNN) for predicting the steerin

... Show More
View Publication Preview PDF
Scopus (3)
Crossref (1)
Scopus Crossref