Find spins educational thought in the arguments of Imam Jafar Sadiq ( peace be upon him ), which is a valid approach to every age and generation , a fact the Lord's suitable for all ages, and a natural extension of the message the sky . Here was a project of Imam Sadiq ( peace be upon him ) for the breeding of individuals and the Islamic nation in general, so it was launched search to explain features of this educational thought when Imam Jafar Sadiq ( peace be upon him )

حروف الجر هي حروف إضافة وروابط تدخل على الأسماء فقط ،فهي من علاماته فتعطيه حكم الجر؛ وبدخولها على الأسماء تجمع معانٍ للكلمات المتفرقة والمتناثرة في جمل متناسقة مفهومة في ذهن القارئ والمتلقي وتوصل معاني الافعال إلى الأسماء التي لا تستطيع الوصول إلى مفاعيلها، وهذا يدل على أن حروف الجر حروف عاملة وإن كان بعضها يأتي زائداً ،ولكل حرف من هذه الحروف معانٍ ودلالات قد تنفرد بها أو تشترك مع الحروف الأُخر فتضفي هذا الم

تعد الدبلوماسية متعددة الاطراف من اهم الطرق لحماية حقوق الانسان لا سيما في الوقت الراهن لما لديها من خيرات وطرق يمكن من خلالها ان يتم الوصول الى السلام الانساني

One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resources for Artificial Neural Networks (ANN) to reduce redundant computation. The test system uses Internet of Things (IoT) services th

One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resources for Artificial Neural Networks (ANN) to reduce redundant computation. The test system uses Internet of Things (IoT) services through our ca

The purpose of the current investigation is to distinguish between working memory ( ) in five patients with vascular dementia ( ), fifteen post-stroke patients with mild cognitive impairment ( ), and fifteen healthy control individuals ( ) based on background electroencephalography (EEG) activity. The elimination of EEG artifacts using wavelet (WT) pre-processing denoising is demonstrated in this study. In the current study, spectral entropy ( ), permutation entropy ( ), and approximation entropy ( ) were all explored. To improve the  classification using the k-nearest neighbors ( NN) classifier scheme, a comparative study of using fuzzy neighbourhood preserving analysis with -decomposition ( ) as a dimensionality reduction technique an

Astronomy image is regarded main source of information to discover outer space, therefore to know the basic contain for galaxy (Milky way), it was classified using Variable Precision Rough Sets technique to determine the different region within galaxy according different color in the image. From classified image we can determined the percentage for each class and then what is the percentage mean. In this technique a good classified image result and faster time required to done the classification process.

Plane cubics curves may be classified up to isomorphism or projective equivalence. In this paper, the inequivalent elliptic cubic curves which are non-singular plane cubic curves have been classified projectively over the finite field of order nineteen, and determined if they are complete or incomplete as arcs of degree three. Also, the maximum size of a complete elliptic curve that can be constructed from each incomplete elliptic curve are given.

The support vector machine, also known as SVM, is a type of supervised learning model that can be used for classification or regression depending on the datasets. SVM is used to classify data points by determining the best hyperplane between two or more groups. Working with enormous datasets, on the other hand, might result in a variety of issues, including inefficient accuracy and time-consuming. SVM was updated in this research by applying some non-linear kernel transformations, which are: linear, polynomial, radial basis, and multi-layer kernels. The non-linear SVM classification model was illustrated and summarized in an algorithm using kernel tricks. The proposed method was examined using three simulation datasets with different sample