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jih-1785
Comparison of Features Extraction Algorithms Used in the Diagnosis of Plant Diseases
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      The detection of diseases affecting plant is very important as it relates to the issue of food security, which is a very serious threat to human life. The system of diagnosis of diseases involves a series of steps starting with the acquisition of images through the pre-processing, segmentation and then features extraction that is our subject finally the process of classification. Features extraction is a very important process in any diagnostic system where we can compare this stage to the spine in this type of system. It is known that the reason behind this great importance of this stage is that the process of extracting features greatly affects the work and accuracy of classification. Proper selection of the right features leads to high accuracy in the system diagnostics and vice versa. The proposed system collect images of different crop (Rice, cotton and tomato) disease, we will enter the images of cropping them , then Re-size the images to fixed size, then improve the image through Fuzzy histogram equalization (FHE) , then perform image segmentation  using color based K-means  and finally compare the methods of features  extraction (Percentage of Leaf Area Infected (PI),Texture-Based Features, Color Moments, Features obtained by Color Co-occurrence Method and Shape based Features) we found that the use of 4 methods together (Percentage of Leaf Area Infected (PI),Texture-Based Features, Color Moments and Shape based Features) produce excellent result..

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Publication Date
Tue Jun 30 2009
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Extraction of Iron from Aqueous Chloride Media in Presence of Aluminum
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The extraction of iron from aqueous chloride media in presence of aluminum was studied at different kinds of extractants(cyclohexanone, tributyl phosphate, diethyl ketone), different values of normality (pH of the feed solution), agitation time, agitation speed, operating temperature, phase ratio (O/A), iron concentration in the feed, and extractant concentration]. The stripping of iron from organic solutions was also studied at different values of normality (pH of the strip solution) and phase ratio (A/O). Atomic absorption spectrophotometer was used to measure the concentration of iron and aluminum in the aqueous phase throughout the experiments.The best values of extraction coefficient and stripping coefficient are obtained under the

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Publication Date
Wed Apr 01 2020
Journal Name
Plant Archives
Sequential extraction of zinc and nickel elements in contaminated soils
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Publication Date
Thu Apr 13 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Evaluation of IL-35 and hs-CRP in Iraqi Patients with Cardiovascular diseases
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    Interleukin-35 (IL-35) is a novel anti-inflammatory of IL-12 family member cytokine. High sensitive C- reactive protein (hs-CRP) is a marker of inflammation disease. This study was obtained to estimate the concentrations of IL-35 and hs-CRP in cardiovascular diseases Iraqi patients. The study contained 79 subjects divided into two groups, 47 (21 male and 26 female) suffering from cardiovascular diseases and 32 as control group. The concentration of IL-35 and hs-CRP was measured by enzyme- linked immune sorbent assay (ELISA). The results revealed that the concentrations of IL-35 and hs-CRP are increased in patients group. IL-35 is strongly expressed in human advanced plaque and hs-CRP. Therefore these two biomarkers cou

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Publication Date
Fri Jun 26 2020
Journal Name
Clinical And Experimental Dental Research
The oral health and periodontal diseases awareness and knowledge in the Iraqi population: Online‐based survey
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Abstract<sec><title>Objectives

This study aimed to evaluate oral health (OH) and periodontal diseases (PD) awareness in the Iraqi population.

Material and methods

This study was a questionnaire‐based online survey of two weeks duration. The questionnaire was built using a Google platform and was distributed randomly via social media (Facebook and Telegram). The questionnaire consisted of a demographic data section and two other main sections for the evaluation of OH and PD awareness. Each response was marked with “1” for a positive answer and “0” for the other answers. For each respondent, answers were summed to give

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Publication Date
Tue Jul 01 2003
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
DIAGNOSIS OF SOME PATHOGENIC FUNGI ON SELECTED LOCAL WOODS
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To explore the durability of some local species of wood to fungal deterioration among the
storage period, this research has conducted on three species Eufcalyptus cammaldulensis,
Juglans regia, presence of some genus of fungi; Aspergillus, Penicillium,Botryoderma,
Chaetomium, Phoma, Cladosporium and Pacilomyces in different intensities.
The two fungi Aspergillus and Penicillium appeared more dominants than others, therefore
they were chosen for the pathogenicity test. The results showed that the two species of fungi
preferred Juglans wood firstly were the size of infection was more than 10 times of any of the
other two woods. Eucalyptus showed similar response to that of Morus, but with Aspergillus
it was few bett

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Publication Date
Tue Dec 16 2008
Journal Name
Iraqi Journal Of Laser
Primary Diagnosis of Abnormal Urine via Auto Fluorescence Process
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The main objective of this study is to determine the suitable excitation wavelengths for
urine components reaching to select the suitable lasers to execute the auto fluorescence due to their
high intensities. The auto fluorescence was measured at 305, 325 and 350 nm excitation wavelengths
for eleven urine samples which were also analyzed by conventional methods (chemical and
microscopic examination). Data manipulation using Matlab package programming language showed
that urine sample with normal chemical and biological components have emission peaks which are
different from the infected urine samples. Despite the complexity of the composition of urine,
fluorescence maxima can be observed. Most likely, the peaks obser

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Publication Date
Sat Feb 09 2019
Journal Name
Iraqi Journal Of Laser
Primary Diagnosis of Abnormal Urine via Auto Fluorescence Process
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The main objective of this study is to determine the suitable excitation wavelengths for
urine components reaching to select the suitable lasers to execute the auto fluorescence due to their
high intensities. The auto fluorescence was measured at 305, 325 and 350 nm excitation wavelengths
for eleven urine samples which were also analyzed by conventional methods (chemical and
microscopic examination). Data manipulation using Matlab package programming language showed
that urine sample with normal chemical and biological components have emission peaks which are
different from the infected urine samples. Despite the complexity of the composition of urine,
fluorescence maxima can be observed. Most likely, the peaks obser

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Publication Date
Wed Jan 01 2025
Journal Name
Lecture Notes In Networks And Systems
Symlet Analysis for ECG-Based Diagnosis of Heart Dysfunction
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Publication Date
Mon Jul 14 2025
Journal Name
Imam Ja&#39;afar Al-sadiq University Journal Of Legal Studies
The legal framework for the protection of new plant varieties
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TRIPS agreement was The first to apply protection by patents. However, this type of protection, which grants exclusive and monopoly rights to patent owners, came at the expense of developing countries which are considered rich in biodiversity and also at the expense of traditional and poor knowledge of modern technologies. The release of new plant varieties has led to the emergence of biopiracy and looting of the rights of developing countries without a license

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Publication Date
Sat Jan 01 2022
Journal Name
Turkish Journal Of Physiotherapy And Rehabilitation
classification coco dataset using machine learning algorithms
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In this paper, we used four classification methods to classify objects and compareamong these methods, these are K Nearest Neighbor's (KNN), Stochastic Gradient Descentlearning (SGD), Logistic Regression Algorithm(LR), and Multi-Layer Perceptron (MLP). Weused MCOCO dataset for classification and detection the objects, these dataset image wererandomly divided into training and testing datasets at a ratio of 7:3, respectively. In randomlyselect training and testing dataset images, converted the color images to the gray level, thenenhancement these gray images using the histogram equalization method, resize (20 x 20) fordataset image. Principal component analysis (PCA) was used for feature extraction, andfinally apply four classification metho

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