This research a study model of linear regression problem of autocorrelation of random error is spread when a normal distribution as used in linear regression analysis for relationship between variables and through this relationship can predict the value of a variable with the values of other variables, and was comparing methods (method of least squares, method of the average un-weighted, Thiel method and Laplace method) using the mean square error (MSE) boxes and simulation and the study included fore sizes of samples (15, 30, 60, 100). The results showed that the least-squares method is best, applying the fore methods of buckwheat production data and the cultivated area of the provinces of Iraq for years (2010), (2011), (2012),

    Multivariate Non-Parametric control charts were used to monitoring the data that generated by using the simulation, whether they are within control limits or not. Since that non-parametric methods do not require any assumptions about the distribution of the data.  This research aims to apply the multivariate non-parametric quality control methods, which are Multivariate Wilcoxon Signed-Rank ( ) , kernel principal component analysis (KPCA) and k-nearest neighbor ( −

Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG r

الخلاصة
ة ө تخدام عدس ө ي باس ө اذف الكترون ө میم ق ө وب لتص ө تخدام الحاس ө ة باس ө ة نظری ө تم في ھذا البحث اجراء دراس
مغمورة ثنائیة الاقطاب لحالة التكبیر المحدد مع الاخذ بنظر الاعتبار تاثیرات شحنة الفراغ على تصمیم القاذف.
ن ө وري م ө د المح ө تم التوصل لاختیار الشكل المناسب لاقطاب ھذه العدسة من خلال دراسة توزیع الجھ
ة ө ل معادل ө ن ح ө وم (Finite element methode) ةө ر المتناھی ө ة العناص ө تخدام طریق ө حل معادلة بوزان و

This paper  deals  to how to estimate points non measured spatial data when the number of its terms (sample spatial) a few, that are not preferred for the estimation process, because we also know that whenever if the data is large, the estimation results of the points non measured to be better and thus the variance estimate less, so the idea of this paper is how to take advantage of the data other secondary (auxiliary), which have a strong correlation with the primary data (basic) to be estimated single points of non-measured, as well as measuring the variance estimate, has been the use of technique Co-kriging in this field to build predictions spatial estimation process, and then we applied this idea to real data in th

Abstract:

The great expansion of teaching skills requires finding ways and methods to help teachers acquire experiences of all kinds. The researcher found in the subject of the teaching skills for teachers in public and private schools a fertile field for conducting a study that enables the measurement of these skills. Thus, the study aims to identify the skills of teaching lessons for teachers, the difference in teaching lesson skills for teachers according to the years of service, the differences in teaching lesson skills for teachers according to the specialized teachers and non-specialized teachers, the differences in teaching lesson skills for teachers according to the public and private school. The

تضمنت الدراسة الحالية تفاصيل الخواص التشريحية للأجزاء الخضرية (الجذر، الساق، السويق، الورقة) لنوعين من جنس Hibiscus المستزرعة في العراق متمثلة في النوعين الباميا Hibiscus esculentus وورد الجمال Hibiscus rosa-sinensis إذ تناولت الدراسة الدليل الثغري ومعدل كل من طول وعرض المعقد الثغري وسمك البشرة المحيطة والقشرة واللحاء ونصف قطر الخشب وعدد أذرع الخشب ووحدات الخشب في الصف الواحد. وقد أظهرت الدراسة أن هناك تبايناً واضحاً في الخو

استخلاص المعالم من السطوح الطبوغرافية هي إنشاء صورة نقطية تمثل ارتفاعات سطح الأرض
بالاعتماد على نموذج الارتفاع الرقمي الذي يعتبر الأساس الذي يعتمد عليه تحليل السطوح الطبوغرافية .
إن نماذج الارتفاعات الرقمية تستنبط بشكل رئيسي بتطبيق النماذج المجسمة ( زوج من الصور) المتوفرة من
المسح التصويري وبيانات التحسس النائي أو من الخرائط الطبوغرافية وهنا تم استخدام نموذج ارتفاع رقمي
مستخلص من الخرائط الطبوغراف

This study aims to examine the effectiveness of prompt engineering in enhancing the accuracy of knowledge retrieval for Islamic texts using artificial intelligence techniques. The research employs a descriptive-analytical approach to analyze current search mechanisms and test new models based on prompt engineering. The study is divided into three main sections: the general framework of the research, the theoretical framework of the role of prompt engineering, and an analysis of the applications of artificial intelligence in Islamic Jurisprudence. The findings indicate that prompt engineering significantly improves the accuracy of search results, enhances search efficiency, and reduces biases, emphasizing the importance of collaboration betw

             In general, researchers and statisticians in particular have been usually used non-parametric regression models when the parametric methods failed to fulfillment their aim to analyze the models  precisely. In this case the parametic methods are useless so they turn to non-parametric methods for its easiness in programming. Non-parametric methods can also used to assume the parametric regression model for subsequent use. Moreover, as an advantage of using non-parametric methods is to solve the problem of Multi-Colinearity between explanatory variables combined with nonlinear data. This problem can be solved by using kernel ridge regression which depend o