Gender classification is a critical task in computer vision. This task holds substantial importance in various domains, including surveillance, marketing, and human-computer interaction. In this work, the face gender classification model proposed consists of three main phases: the first phase involves applying the Viola-Jones algorithm to detect facial images, which includes four steps: 1) Haar-like features, 2) Integral Image, 3) Adaboost Learning, and 4) Cascade Classifier. In the second phase, four pre-processing operations are employed, namely cropping, resizing, converting the image from(RGB) Color Space to (LAB) color space, and enhancing the images using (HE, CLAHE). The final phase involves utilizing Transfer lea

 Abstract  Lanɡauaɡes, like humans, need communication and interaction to prosper. One of the ways for a language to flourish is to borrow words from other languages. The southern regions of Iran and the coastal countries of Persian Gulf have had strong cultural relations since old times, with language being a dimension of these relations. With their land being geographically located in the realm of Islamic civilization and being Muslims,  Baloch people have had strong connections with the Arab world and the Arabic language.Thus, many Arabic words have made their ways into Balochi language either directly or indirectly through persian language. Since each language has its own unique sound structure, these loanwords have undergone ph

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DBN Rashid, Asian Quarterly: An International Journal of Contemporary Issue, 2018

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Sentiment analysis is one of the major fields in natural language processing whose main task is to extract sentiments, opinions, attitudes, and emotions from a subjective text. And for its importance in decision making and in people's trust with reviews on web sites, there are many academic researches to address sentiment analysis problems. Deep Learning (DL) is a powerful Machine Learning (ML) technique that has emerged with its ability of feature representation and differentiating data, leading to state-of-the-art prediction results. In recent years, DL has been widely used in sentiment analysis, however, there is scarce in its implementation in the Arabic language field. Most of the previous researches address other l

The present research aims to measure the wisdom among university students and the differences of the concept of wisdom according to the gender of students in college of Basic Education. The sample of the research reached (300) male and female students in the morning studies upon the four stages of the psychological guidance department, the Scale of wisdom has been designed by the researcher herself and the psychometric feature were obtained as validity and Reliability. the researcher used Chi- square to Know the differences between the number of agreed and disagreed students for the wisdom scale, as well as the researcher used person correlation coefficient to Know the reliability of the scale by re test method for wisdom scale , t- test

The study focuses on the problem that Iraq is approaching an increasing rate of literacy;the available data refers to a rate of (18% -19%). In addition to the fact that the generalcurrent role of the programs directed to literacy is not actually effective enough to limit the expansion of this rate.

The importance of this study highlights the fact that the Iraqi universities are an important tributary among the tributaries of human development, especially in spreading the education of the voluntary work in literacy field and confirming the connection between the students and their society and their role in solving one of the prominent challenges that face the development, i.e., literacy.

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Medicine is one of the fields where the advancement of computer science is making significant progress. Some diseases require an immediate diagnosis in order to improve patient outcomes. The usage of computers in medicine improves precision and accelerates data processing and diagnosis. In order to categorize biological images, hybrid machine learning, a combination of various deep learning approaches, was utilized, and a meta-heuristic algorithm was provided in this research. In addition, two different medical datasets were introduced, one covering the magnetic resonance imaging (MRI) of brain tumors and the other dealing with chest X-rays (CXRs) of COVID-19. These datasets were introduced to the combination network that contained deep lea