Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for diagnostic prediction over the years. This article focuses on the development of an automated CAD system with the intent to perform diagnosis as accurately as possible. Deep learning methods have been able to produce impressive results on medical image datasets. This study employs deep learning methods in conjunction with meta-heuristic algorithms and supervised machine-learning algorithms to perform an accurate diagnosis. Pre-trained convolutional neural networks (CNNs) or auto-encoder are used for feature extraction, whereas feature selection is performed using an ant colony optimization (ACO) algorithm. Ant colony optimization helps to search for the bes

Whenever, the Internet of Things (IoT) applications and devices increased, the capability of the its access frequently stressed. That can lead a significant bottleneck problem for network performance in different layers of an end point to end point (P2P) communication route. So, an appropriate characteristic (i.e., classification) of the time changing traffic prediction has been used to solve this issue. Nevertheless, stills remain at great an open defy. Due to of the most of the presenting solutions depend on machine learning (ML) methods, that though give high calculation cost, where they are not taking into account the fine-accurately flow classification of the IoT devices is needed. Therefore, this paper presents a new model bas

Deep learning convolution neural network has been widely used to recognize or classify voice. Various techniques have been used together with convolution neural network to prepare voice data before the training process in developing the classification model. However, not all model can produce good classification accuracy as there are many types of voice or speech. Classification of Arabic alphabet pronunciation is a one of the types of voice and accurate pronunciation is required in the learning of the Qur’an reading. Thus, the technique to process the pronunciation and training of the processed data requires specific approach. To overcome this issue, a method based on padding and deep learning convolution neural network is proposed to

Abstract

The twentieth century French novel had undergo a significant change that took the form of a radical move from the traditional son who follows his father to one who no way prevalent in the classical French novel. The new son in the 2Oth century novel finds himself emotionally attached which both became a new trend and approach in novel writing.

Marcel Proust's novel which can be considered a source of inspiration for most of 2Oth century novelists is a good example of the mother supremacy which is crystal clear from the first page through its parts and chapters till the last page. In fact, Proust had written a completely different novel from the Balzacian conventions. Unlike the latter's novels, Pro

بعد الاحتجاجات التي اندلعت في ليبيا في فبراير 3122 ،استند مجلس الأمن وهيئات الأمم المتحدة الأخرى على مفهوم المسئولية عن الحماية (R2P )(لمعالجة الأوضاع الإنسانية الناجمة عن تلك الاحتجاجات. وأصدر المجلس القرار 1970والذي فرض بموجبه حزمة من العقوبات على ليبيا، ثم أصدر القرار 1973 الذي سمح بالتدخل العسكري هناك. وبعد البدء بتنفيذ الحملة العسكرية تبين أن الناتو استغل هذه القرارات لتنفيذ أجندته الخاصة وعمل على الإطاحة بالن

Tobacco products of all kinds are harmful to public health, so legislation has paid great attention to regulating the process of tobacco production and distribution, whether at the level of national or international legislation, in a way that achieves legal protection for these products, so the establishment of civil liability for tobacco companies as a result of harm to the smoker The positive and the negative provoked a jurisprudential dispute due to the specificity of the work of these companies, and the jurisprudence differed in the legal nature of tobacco companies ’liability between contractual and tort liability in a way that enables the injured smoker to obtain his right to compensation.

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Throughout the ages, a number of natural and human disasters have
occurred in the Islamic world,