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The Land Use and Land Cover Classification on the Urban Area
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     The Land Use/ Land Cover (LULC) is an essential application in many remotely sensed projects and problems. Land use is simply man-made objects such as urban, road complex targets, etc., while land covers are defined as any target and phenomenon that appear neutral. The LULC study is essential for all current and future engineering projects, as it shows the nature of the land's components, which is evident in studying and modernizing residential areas. One of the essential operations for studying LULC is the heterogeneity detection and classification calculations of satellite images and topographic maps. A part of the Baghdad, Iraq region was selected for the Landsat satellite group at different periods to detect variance and make classifications for extracting and calculating ​​the changes. Many digital techniques were used to extract the results, such as; digital change detection and two classification methods. The study showed a significant decrease in the vegetation cover areas after 2015 and the expansion of buildings and unincorporated slums due to the housing crisis. The digital methods and results were evaluated using the ENVI (Environment for Visualizing Images) ver. 4.5 and written subroutines in visual basic 6.0.

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Publication Date
Thu Feb 28 2019
Journal Name
Iraqi Journal Of Science
The radiological effects of dust storms in Baghdad- Ramadi area
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Twelve storm dust samples were collected from three cities in Iraq. The samples were collected in the same time during big storms which hit Iraq in summer, 2012 and 2013.  The deposited dust on 4 by 4 nylon sheet on surfaces of selected buildings in cities of Baghdad, Fallujah and Al-Ramadi were collected. Each sample was put in sealed Marinilli beaker and kept for 4 weeks to reach the equilibrium state between radium and its short half-life daughters. Gamma spectrometry system based on HPGe was used for analysis of natural and artificial radionuclides in the dust. The activities of natural radionuclides were found to be ranged between 13-19 Bq/kg, 9-14 Bq/kg and 200-240 Bq/kg for Ra-226, Th-232 and K-40 respectively, while Cs-137 w

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Publication Date
Sat May 16 2009
Journal Name
Journal Of Planner And Development
Value Engineering and the Possibility of Its use in Architecture
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Value Engineering is an analytical study on projects or services using a specific procedure and a multidisciplinary working group, works for the identification and classification of the project functions; either for a better perfuming of these functions or to lessen the total project cost or the two together. Value Engineering main aim is on finding innovative alternatives, without effecting the basic requirements of the project, its methodology based on the functional balancing between the three elements of production "performance, quality and cost". This methodology based on the "functional analysis", had shown high possibilities in solving any problem facing the production procedure , achieve better investment for available re

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Publication Date
Fri Jan 26 2024
Journal Name
Iraqi Journal Of Science
Classification of Cardiac Arrhythmia using ID3 Classifier Based on Wavelet Transform
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Accurate detection of Electro Cardio Graphic (ECG) features is an important demand for medical purposes, therefore an accurate algorithm is required to detect these features. This paper proposes an approach to classify the cardiac arrhythmia from a normal ECG signal based on wavelet decomposition and ID3 classification algorithm. First, ECG signals are denoised using the Discrete Wavelet Transform (DWT) and the second step is extract the ECG features from the processed signal. Interactive Dichotomizer 3 (ID3) algorithm is applied to classify the different arrhythmias including normal case. Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) Arrhythmia Database is used to evaluate the ID3 algorithm. The experimental resul

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Publication Date
Thu Dec 02 2021
Journal Name
Iraqi Journal Of Science
Quantitative Analysis based on Supervised Classification of Medical Image Fusion Techniques
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Fusion can be described as the process of integrating information resulting from the collection of two or more images from different sources to form a single integrated image. This image will be more productive, informative, descriptive and qualitative as compared to original input images or individual images. Fusion technology in medical images is useful for the purpose of diagnosing disease and robot surgery for physicians. This paper describes different techniques for the fusion of medical images and their quality studies based on quantitative statistical analysis by studying the statistical characteristics of the image targets in the region of the edges and studying the differences between the classes in the image and the calculation

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Publication Date
Sat Sep 30 2023
Journal Name
Al–bahith Al–a'alami
Political Use of the Photograph: A Semiotic Study of the Photograph of Al-Kadhimi's Visit to Fallujah on the Anniversary of the Victory Over ISIS
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The research aims to determine what a photograph intends to convey as a visual text. Photographs are not captured randomly, especially those of politicians. Each photograph carries a message, even if interpretations of that message vary from person to person. The research adopts a methodology based on semiotic analysis, applying Laurent Gervero's model to analyze a photograph of the Iraqi Prime Minister Mustafa Al-Kadhimi's visit to Fallujah on the anniversary of the victory over ISIS. The photographs in question constitute a visual language built upon a sequence of iconic symbols and signs. These elements coalesce to give rise to an image centered around a particular theme, one designed to convey a precise messag

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Publication Date
Fri Feb 07 2025
Journal Name
Economics And Administrative Studies Journal (easj) (formerly Al-dananeer Journal)
The use of the MADC indicator for entry and exit from financial market.
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Publication Date
Thu Jan 13 2022
Journal Name
Iraqi Journal Of Science
Facies Analysis of The Siliciclastic-calciturbidites, Gercus Formation In Dokan Area, Ne-Iraq; New Insight On Deposition Enviroment And Basin Evolution
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Sedimentologic and facies evidences reveal a marine environment for the Gercus Formation. Facies analysis and associated sedimentary structures including graded beddings decide turbidity origin of the rocks. Marine environment is supported by the identifying glauconite and fossils types reported for the first time.
The formation composed of seven lithotypes; shale/claystone, mudstone, sandstone, carbonate, conglomerate, breccias and debris flow, which are arranged in repeated cycles of mixed siliciclastic-carbonate turbidites in a range of gravity-flow regime. The Gercus successions are grouped into four facies associations confirming marine depositional systems, these are (from bottom to top); slump siliciclastic-calciturbidites (dol

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Publication Date
Wed Dec 30 2015
Journal Name
College Of Islamic Sciences
The communicative dimension of Andalusian-Moroccan poetry In the classification and refining book (The pleasure of the soul of the five senses)
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The heritage of the human peoples remains a beacon of data, after renewed awareness of them, open to their propositions, which are born from the womb of intertwined elements of customs, knowledge, arts, and literature ... Misleading the reception process, it may be something intriguing to identify with caution with the text sample selected by the current search procedures prepared according to the adoption of a descriptive therapist in a three-dimensional approach, as well as a comprehensive textual reference for that specific communication dimension within Anthology Andalusian - Moroccan poetry in the book of pleasure in the perception of the five senses Tahdib ibn Manzoor (d. 711 e) from the origin of Tivashi (d. 651 e) Tagged: Separat

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Publication Date
Wed Dec 01 2021
Journal Name
Civil And Environmental Engineering
Prediction of the Delay in the Portfolio Construction Using Naïve Bayesian Classification Algorithms
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Abstract<p>Projects suspensions are between the most insistent tasks confronted by the construction field accredited to the sector’s difficulty and its essential delay risk foundations’ interdependence. Machine learning provides a perfect group of techniques, which can attack those complex systems. The study aimed to recognize and progress a wellorganized predictive data tool to examine and learn from delay sources depend on preceding data of construction projects by using decision trees and naïve Bayesian classification algorithms. An intensive review of available data has been conducted to explore the real reasons and causes of construction project delays. The results show that the postpo</p> ... Show More
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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
The study of the literature review of hybrid classification approaches to credit scoring
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