doi:10.30526/32.1.1918

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Publication Date

Sun Jan 20 2019

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Volume

32

Issue Number

1

DOI

10.30526/32.1.1918

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A parallel Numerical Algorithm For Solving Some Fractional Integral Equations

Neural network

Abelâ€™s integral equations

Levenberg â€“ Marquardt training algorithm .

Khalid Mindeel

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In this study, He's parallel numerical algorithm by neural network is applied to type of integration of fractional equations is Abelâ€™s integral equations of the 1^st and 2^nd kinds. Using a Levenberge â€“ Marquaradt training algorithm as a tool to train the network. To show the efficiency of the method, some type of Abelâ€™s integral equations is solved as numerical examples. Numerical results show that the new method is very efficient problems with high accuracy.

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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

learning Machine

classification

MCOCO dataset

K Nearest Neighbor's

Stochastic Gradient Descent learning (SGD)

Logistic Regression Algorithm(LR)

and Multi-Layer Perceptron (MLP).

Rasool

Bushra

Raaid

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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

Publication Date

Sun Oct 22 2023

Journal Name

Iraqi Journal Of Science

Study of Matter Density Distributions, Elastic Electron Scattering form Factors and Reaction Cross Sections of 8He And 17B Exotic Nuclei

neutron-rich exotic nuclei

shell model calculations

elastic electron scattering form factor

density distributions

root mean square radii of halo nuclei PACS number(s)

21.10.Gv

25.30.Bf

21.10.ft

Adel

Gaith

Ahmed

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The ground state densities of unstable neutron-rich 8He and 17B exotic nuclei are studied via the framework of the two-frequency shell model (TFSM) and the binary cluster model (BCM). In TFSM, the single particle harmonic oscillator wave functions are used with two different oscillator size parameters βc and βv where the former is for the core (inner) orbits and the latter is for the valence (halo) orbits. In BCM, the internal densities of the clusters are described by single particle Gaussian wave functions. Shell model calculations for the two valence neutrons in 8He and 17B are performed via the computer code OXBASH. The long tail performance is clearly noticed in the calculated neutron and matter density distributions of these nucl

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Publication Date

Tue Dec 31 2019

Journal Name

Journal Of Economics And Administrative Sciences

The Role of Information Technology Competency in Activating of Human Resources Management Practices/ Applied Study in the Informatics and Communications Public Company in Iraq

IT competency

HRM Practices

IT usage

IT knowledge

IT operations

Training Program

Job Design

Recruitment

and Performance appraisal.

كفاءة تكنولوجيا المعلومات

ممارسات إدارة الموارد البشرية

استخدام تكنولوجيا المعلومات

معرفة تكنولوجيا المعلومات

عمليات تكنولوجيا المعلومات

برامج التدريب

تصميم االعمل

التوظيف (الاستقطاب)

وتقييم الأداء.

Nada Ismaeel

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This research aims to clarify the role of Information Technology Competency (ITC) with dimensions' (IT Usage, IT Knowledge, and IT Operations) as an independent variable in the activation of Human Resources Management Practices (HRM Practices) as a dependent variable with dimensions' (Training and Development, Recruitment, Job Design, and Performance appraisal). Based on this, the correlation and effect relationships between the independent and dependent variables are determined by formulating two main hypotheses. There are a significant relationship and effect of IT competency with HRM practices within the dimensions. Furthermore, the scope and population of this research are the Informatics and Communications P

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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