<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol

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

A new and hybrid deep learning-based approach for diagnosing faults in electric vehicle (EV) drive motors is proposed in this article. This article presents a new and hybrid deep learning-based method of diagnosing faults in the drive motors of electric vehicles (EV). In contrast to standard CNNLSTM approaches that depend on SoftMax classification, the introduced framework combines a Random Forest (RF) classifier to enhance the generalization, interpretability, and robustness of fault prediction. Furthermore meant for use on edge computing equipment with IoT integration, the design allows for real-time monitoring in resource-limited settings. The introduced algorithm utilizes a Random Forest (RF) classifier for accurate fault classification

A substantial portion of today’s multimedia data exists in the form of unstructured text. However, the unstructured nature of text poses a significant task in meeting users’ information requirements. Text classification (TC) has been extensively employed in text mining to facilitate multimedia data processing. However, accurately categorizing texts becomes challenging due to the increasing presence of non-informative features within the corpus. Several reviews on TC, encompassing various feature selection (FS) approaches to eliminate non-informative features, have been previously published. However, these reviews do not adequately cover the recently explored approaches to TC problem-solving utilizing FS, such as optimization techniques.

the student of the structure of the city and its constituent elements will clearly sense the invisible relationships that underlie the different forms of urban activity, which in turn are defined by the generality of the urban patterns in that city, which will vary clearly according to the location in the city. These relations will be embodied in their true form in the interactions between the different uses of the earth, and the change that will result from their regularity in the form of entities in independent groups, which may share with each other a component of it.
Therefore, the process of controlling the functional interactions between the uses of the urban land and the awareness of t

In this study, the specimens of land snails Polygyra cereolus (Megerle v on Mühlfeld t , 181 8
(Gastropoda, Stylommatophora, are collected between March and April 2021
from gardens and nurseries in Baghdad province, this species was recorded as a new record to
Iraq molluscan fauna. Description of the most important characteristics, measurements of the
shell are presented with digital p photographs, subsequently, this study represents the first record
of the Polygyridae in Iraq.

يعد موضوع السلام ونبذ العنف وقبول الآخر من الموضوعات الحیویة التي اخذت تصعد على سلم الأولویات فى نهایات القرن الماضي وبداية الالفية الجديدة ، ولازال یلقى الاهتمام الكبیر من الدول نظراً للنجاحات التي حققها السلام من حیث الإعمار والمساعدة فى رسم الخطط التنمویة طویلة المدى، وتنبع ألاهمیة من صیاغة الوجدان للإنسان العراقي عبر نشر ثقافة السلام.

قال احد المربين ( أعطوني طفولة سعيدة ممتلئة وخذوا شباباً ناضجاً سليماً) ويعني بالطفولة السعيدة تلك الطفولة المشبعة بالحب والحنان وتلبية الحاجات المهمة للطفل حيث يتعلم الطفل من احضان العائلة بعض النواهي والاوامر حتى اذا اتسعت دائرة معارفه شملت الرفقة والعصبة حيث يبدأ الطفل بالتحرر شيئاً فشيئأ من الضوابط العائلية وينتقل مركز ولائه واخلاصه من العائلة الى العصبية وكلما تتوسع علاقات الطفل تزداد خبراته وت

The people of the house (peace be upon them) had several owners who adopted their correct approach and broadcast the Prophet's narrations and narrated it. They were one of the most important media tools in the era that helped spread the thoughts of the people of the house and spread them among the people. Al-Hasan (peace be upon him) and Sunati to mention in this research, we will discuss his life, his love for the people of the house (peace be upon them) and the most important talk that he narrated about the people of the house (peace be upon them(.