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A Modified Support Vector Machine Classifiers Using Stochastic Gradient Descent with Application to Leukemia Cancer Type Dataset
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Support vector machines (SVMs) are supervised learning models that analyze data for classification or regression. For classification, SVM is widely used by selecting an optimal hyperplane that separates two classes. SVM has very good accuracy and extremally robust comparing with some other classification methods such as logistics linear regression, random forest, k-nearest neighbor and naïve model. However, working with large datasets can cause many problems such as time-consuming and inefficient results. In this paper, the SVM has been modified by using a stochastic Gradient descent process. The modified method, stochastic gradient descent SVM (SGD-SVM), checked by using two simulation datasets. Since the classification of different cancer types is important for cancer diagnosis and drug discovery, SGD-SVM is applied for classifying the most common leukemia cancer type dataset. The results that are gotten using SGD-SVM are much accurate than other results of many studies that used the same leukemia datasets.

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Publication Date
Mon Apr 01 2019
Journal Name
Arpn Journal Of Engineering And Applied Sciences
Assessment of vegetable cover in south Iraq by remote sensing methods
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The vegetable cover plays an important role in the environment and Earth resource sciences. In south Iraq, the region is classified as arid or semiarid area due to the low precipitations and high temperature among the year. In this paper, the Landat-8 satellite imagery will be used to study and estimate the vegetable area in south Iraq. For this purpose many vegetation indices will be examined to estimate and extract the area of vegetation contain in and image. Also, the weathering parameters must be investigated to find the relationship between these parameters and the arability of vegetation cover crowing in the specific area. The remote sensing packages and Matlab written subroutines may be use to evaluate the results.

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Publication Date
Tue Dec 31 2019
Journal Name
Iraqi Geological Journal
CLIMATIC WATER BALANCE FOR ISHAQI AREA, SALAH AL-DEAN GOVERNORATE, IRAQ
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In any natural area or water body, evapotranspiration is one of the main outcomes in the water balance equation. It is also a crucial component of the hydrologic cycle and considers as the main requirement in the planning and designing of any irrigation project. The climatic parameters for the Ishaqi area are calculated from the available date of Samarra and Al-Khlais meteorological stations according to a method for the period (1982–2017) according to Fetter method. The results of the mean of rainfall, relative humidity temperature, evaporation, sunshine, and wind speed of the Ishaqi area are 171.96 mm, 49.67%, 24.86 C°, 1733.61 mm, 8.34 h/day, and 2.3 m/sec, respectively. Values of Potential Evapotranspiration are determined by

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Publication Date
Fri Jun 24 2022
Journal Name
Iraqi Journal Of Science
Water Balance for Ali AL-Gharbi-Northeast of Missan Governorate- Southeast of Iraq
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Ali AL-Gharbi area lies to the northeast of Missan Governorate, southeast of Iraq. The meteorological data recorded in Ali AL-Gharbi station for the period (1994-2014) were used to assess the climatic condition of the study area, it was found that the monthly mean of rainfall is (15.35 mm), relative humidity (43.95 %), the temperature (24.50 C◦), wind speed (4.35 m/sec) and the strongest and most frequent winds are the northwest, sunshine (8.54 h/day) and evaporation (305.73 mm).The results of the data analysis show that, the climate of study area is characterized by dry and relatively hot in summer, and cold with low rain in winter. This study shows that, there is water surplus of (35.69 %) of the total rainfall amount which is equivalen

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Publication Date
Sun Apr 23 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Applications of Discriminant Analysis in Medical diagnosis
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In this paper, the discriminant analysis is used to classify the most wide spread heart diseases known as coronary heart diseases into two groups (patient, not patient) based on the changes of discrimination features of ten predictor variables that we believe they cause the disease . A random sample for each group is employed and the stepwise procedures are performed in order to delete those variables that are not important for separating the groups. Tests of significance of discriminant analysis and estimating the misclassification rates are performed

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Publication Date
Tue Dec 15 2020
Journal Name
Aip Conference Proceedings
The water bodies in the Southern East of Iraq before and after 2018
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This study is concerned with the recent changes that occurred in the last three years (2017-2019) in the marshes region in southern Iraq as a result of the changes in the global climate, the study included all the water bodies in the five governorates that are located in the southern regions of Iraq (Wasit, Maysan, Dhi-Qar, Qadisiyah and Basrah), which represent the marshes lands in Iraq. Scenes of the Landsat 8 satellite are used to create a mosaic to cover the five governorates within a time window with the slightest difference between the date of the scene capture, not to exceed 8 days. The results of calculating the changes in water areas were obtained using the classifier support vector machine, where high accuracy ratios were recorded

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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
Sun Jan 26 2020
Journal Name
Iraqi Journal Of Science
New Updated Classification of Shallow Earthquakes Based on Faulting Style
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Earthquakes occur on faults and create new faults. They also occur on  normal, reverse and strike-slip faults. The aim of this work is to suggest a new unified classification of Shallow depth earthquakes based on the faulting styles, and to characterize each class. The characterization criteria include the maximum magnitude, focal depth, b-constant value, return period and relations between magnitude, focal depth and dip of fault plane. Global Centroid Moment Tensor (GCMT) catalog is the source of the used data. This catalog covers the period from Jan.1976 to Dec. 2017. We selected only the shallow (depth less than 70kms) pure, normal, strike-slip and reverse earthquakes (magnitude ≥ 5) and excluded the oblique earthquakes. Th

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Publication Date
Mon May 11 2020
Journal Name
Baghdad Science Journal
Proposing Robust LAD-Atan Penalty of Regression Model Estimation for High Dimensional Data
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         The issue of penalized regression model has received considerable critical attention to variable selection. It plays an essential role in dealing with high dimensional data. Arctangent denoted by the Atan penalty has been used in both estimation and variable selection as an efficient method recently. However, the Atan penalty is very sensitive to outliers in response to variables or heavy-tailed error distribution. While the least absolute deviation is a good method to get robustness in regression estimation. The specific objective of this research is to propose a robust Atan estimator from combining these two ideas at once. Simulation experiments and real data applications show that the proposed LAD-Atan estimator

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Publication Date
Mon Dec 20 2021
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
NATURE OF VARIABILITY OF CANDAHARIA LEVANDERI (SIMROTH, 1902) IN THE FERGHANA AND SURKHAN - SHERABAD VALLEYS, UZBEKISTAN
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The variability of Candaharia levanderi (Simroth, 1902)(Gastropoda, Stylommatophora, Parmacellidae) in two biotopes (southern and northern slopes, the Kampirtepa gorges, the Kugitang Tau ridge) has been investigated using polymerase chain reaction (PCR) with the implementation of primers, the 18S DNA of the region is amplified, the variability (sharply differing in color) of two populations of C. levanderi is studied .
The first population is in the suburbs of Namangan, (Namangan Region); the second population is in Kampirtepa gorges, Kugitang Tau ridge (Surkhandarya Region). It is established that, most often, the variability of morphological signs is observed on the coloration of mollusks. The development of body coloration is an ad

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Publication Date
Sun Apr 29 2018
Journal Name
Iraqi Journal Of Science
Semantic Based Video Retrieval System: Survey
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In this review paper a number of studies and researches are surveyed, in order to assist the upcoming researchers, to know about the techniques available in the field of semantic based video retrieval. The video retrieval system is used for finding the users’ desired video among a huge number of available videos on the Internet or database. This paper gives a general discussion on the overall process of the semantic video retrieval phases. In addition to its present a generic review of techniques that has been proposed to solve the semantic gap as the major scientific problem in semantic based video retrieval. The semantic gap is formed because of the difference between the low level features that are extracted from video content and u

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