Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall

Purpose:  Providing practical knowledge of the requirements of a detailed feasibility study for selecting the investment project.

Findings:  Directing the private sector towards investing in productive projects - the pre-cast reinforced concrete project - as it achieves a financial return as well as providing Providing foreign currencies by reducing imports and exploiting available natural resources

Practical implications: The importance of a detailed feasibility study to determining whether the project can be implemented or not.

The precast concrete method is one of the best modern c

Contracting companies play a prominent role today in economic activity, due to their contribution to the implementation of major construction projects which together constitute the infrastructure of society. Most construction projects also suffer from exceeding the time and cost specified and planned for the completion of the project, and this comes for several reasons, including the work environment, country conditions, The method of managing project costs and the techniques used in its implementation Accordingly, the concepts of lean construction came, which help in addressing the causes of waste, both in time and cost, in addition to the fact that project management needs techniques that are useful in controlling the control and manag

Abdullah bin Taher ibn al-Husayn ibn Mus'ab ibn Rizayq ibn As'ad ibn Zazan, Abu Talha al-Khuzai, Abu al-Abbas and Zureiq, Jad Taher ibn al-Husayn with the rightists, and Mullah Abdullah bin Khalaf, the father of Talha

 Using religious characters which come from religion is a significant means that poets applied in their texts. The Iraqi poet Adib Kamal Aldin applied religious characters as an active means helping the theme of the text and playing a great role in expanding the meanings and their implications in the text. 

The research attempts to identify the pattern of punctuation in contemporary Iraqi poetry through delving into the poetry of an Iraqi poet belonging to the seventieth generation, Namik Abdul Deeb, who belongs to the poets of Arab modernity in general, the research has reached many results, including that the signs of deletion were vocabulary marks any They are located in the center of the poetic singular, or inline markers, which are those that fall within the poetic line of the prose poem separating its vocabulary, or cross-sectional marks located within the poetic passages that are part of the poetic text, and finally text marks which are located within the poetic text and fragmented into Parts. The research also found that the work of

Developing and researching antenna designs are analogous to excavating in an undiscovered mine. This paper proposes a multi-band antenna with a new hexagonal ring shape, theoretically designed, developed, and analyzed using a CST before being manufactured. The antenna has undergone six changes to provide the best performance. The results of the surface current distribution and the electric field distribution on the surface of the hexagonal patch were theoretically analyzed and studied. The sequential approach taken to determine the most effective design is logical, and prevents deviation from the work direction. After comparing the six theoretical results, the fifth model proved to be the best for making a prototype. Measured results rep

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),