Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

The production function forms one of the techniques used in evaluation the  production the process for any establishment or company, and to explain the importance of contribution of element from the independent variable and it's affect on the dependent variable. Then knowing the elements which are significant or non-significant on the dependent variable.

    So the importance of this study come from estimating the Cobb-Douglas production function for Al- Mansoor General Company for Engineering industries in Iraq during the period (1989-2001)

     To explain the importance which effects the independent variable such as
(N

تهدف الدراسة الى بناء مقياس التهكم التنظيمي للمعنيين بالاتحاد العراقي المركزي بالكرة الطائرة. تحديد الدرجات والمستويات المعيارية لمقياس التهكم التنظيمي للمعنيين بالاتحاد العراقي المركزي بالكرة الطائرة.وقد استخدم الباحثون المنهج المسحي على مجتمع البحث وعينته المتمثلة بالمعنيين من حكام واداريين ومدربون بالكرة الطائرة إذ بلغت العينة (185) فرداً، وبعد ذلك أجريت إجراءات البناء واختيار المجالات والعبارات ومن

على الرغم من إن الابداع والمبدعين وخصائصهم العقلية والشخصية تعد من المفاهيم المهمة والشائعة في الحياة بمجالاتها كافة، ففي الوقت الذي نجد فيه العديد من الدراسات والمقالات العربية والاجنبية التي تناولته بشكل او باخر، لكنها جميعها اعتمدت على المقياس الخاص بالتفكير الابداعي لمؤسسه الاول تورانس منذ عام (1967)، متجاهلة التغيير والتطور المعلوماتي ولا سيما في الانترنيت والحاسوب وما افرزه هذا من مفردات شاعت وتداول

The map of permeability distribution in the reservoirs is considered one of the most essential steps of the geologic model building due to its governing the fluid flow through the reservoir which makes it the most influential parameter on the history matching than other parameters. For that, it is the most petrophysical properties that are tuned during the history matching. Unfortunately, the prediction of the relationship between static petrophysics (porosity) and dynamic petrophysics (permeability) from conventional wells logs has a sophisticated problem to solve by conventional statistical methods for heterogeneous formations. For that, this paper examines the ability and performance of the artificial intelligence method in perme

Abstract:                                        

   We can notice cluster data in social, health and behavioral sciences, so this type of data have a link between its observations and we can express these clusters through the relationship between measurements on units within the same group.

    In this research, I estimate the reliability function of cluster function by using the seemingly unrelate

The Log-Logistic distribution is one of the important statistical distributions as it can be applied in many fields and biological experiments and other experiments, and its importance comes from the importance of determining the survival function of those experiments. The research will be summarized in making a comparison between the method of maximum likelihood and the method of least squares and the method of weighted least squares to estimate the parameters and survival function of the log-logistic distribution using the comparison criteria MSE, MAPE, IMSE, and this research was applied to real data for breast cancer patients. The results showed that the method of Maximum likelihood best in the case of estimating the paramete

This research includes the study of dual data models with mixed random parameters, which contain two types of parameters, the first is random and the other is fixed. For the random parameter, it is obtained as a result of differences in the marginal tendencies of the cross sections, and for the fixed parameter, it is obtained as a result of differences in fixed limits, and random errors for each section. Accidental bearing the characteristic of heterogeneity of variance in addition to the presence of serial correlation of the first degree, and the main objective in this research is the use of efficient methods commensurate with the paired data in the case of small samples, and to achieve this goal, the feasible general least squa

The two terms"of fective intelligece and organizational intelligence" is it is the emotional intelligency and organizational intelligency"are considered as one of the contemporany terms which the various organizations started to function them in their activities to in crease their efficiency.

This study aims at examining those two terms and the possibility of their functioning them in one of the general organizations and the questionnaire is used as atool to gather information that are distributed on asample consists of (50)employees and selected randomly from various organizationl levels.

The most important conclusions:<

EDIRKTO, an Implicit Type Runge-Kutta  Method of Diagonally Embedded pairs, is a novel approach presented in the paper that may be used to solve 4th-order ordinary differential equations of the form . There are two pairs of EDIRKTO, with three stages each: EDIRKTO4(3) and EDIRKTO5(4). The derivation techniques of the method indicate that the higher-order pair is more accurate, while the lower-order pair provides superior error estimates. Next, using these pairs as a basis, we developed variable step codes and applied them to a series of -order ODE problems. The numerical outcomes demonstrated how much more effective their approach is in reducing the quantity of function evaluations needed to resolve fourth-order ODE issues.