Identifying the total number of fruits on trees has long been of interest in agricultural crop estimation work. Yield prediction of fruits in practical environment is one of the hard and significant tasks to obtain better results in crop management system to achieve more productivity with regard to moderate cost. Utilized color vision in machine vision system to identify citrus fruits, and estimated yield information of the citrus grove in-real time. Fruit recognition algorithms based on color features to estimate the number of fruit. In the current research work, some low complexity and efficient image analysis approach was proposed to count yield fruits image in the natural scene. Semi automatic segmentation and yield calculation of fruit

One of the significant stages in computer vision is image segmentation which is fundamental for different applications, for example, robot control and military target recognition, as well as image analysis of remote sensing applications. Studies have dealt with the process of improving the classification of all types of data, whether text or audio or images, one of the latest studies in which researchers have worked to build a simple, effective, and high-accuracy model capable of classifying emotions from speech data, while several studies dealt with improving textual grouping. In this study, we seek to improve the classification of image division using a novel approach depending on two methods used to segment the images. The first

Building a system to identify individuals through their speech recording can find its application in diverse areas, such as telephone shopping, voice mail and security control. However, building such systems is a tricky task because of the vast range of differences in the human voice. Thus, selecting strong features becomes very crucial for the recognition system. Therefore, a speaker recognition system based on new spin-image descriptors (SISR) is proposed in this paper. In the proposed system, circular windows (spins) are extracted from the frequency domain of the spectrogram image of the sound, and then a run length matrix is built for each spin, to work as a base for feature extraction tasks. Five different descriptors are generated fro

HM Al-Dabbas, RA Azeez, AE Ali, Iraqi Journal of Science, 2023

The propaganda war is one of the most dangerous weapons used in various conditions of war and peace within any intellectual, political or military conflict to be targeted by multiple social groups and their effects on the intellectuals to change the viewpoints at the local and global level, including the use of technical treatment of the audio and visual medium, The impact of the psychological dimensions of the arms in the confrontation and spread terror in the ranks of the enemies and in the forefront of what Iraq faces in its battle against the And the use of it as a propaganda content contributes to the development of the spirit of tranquility and tranquility in the hearts of Iraqis and the return of the right to the owners “th

The present paper aims at presenting a feminist reading of Shamela. It specifically seeks to show how the patriarchal mentality behind Shamela dismembers all aspects of the positive image of the woman in Pamela so that nothing remains in the public mind but the prevalent stereotypical image.  The narrative in Pamela draws a positive picture of a truly pure, honest, moral woman; the narrative of Shamela redraws that picture by positing the stereotypical image of the woman as a lascivious temptress, false creature, immoral person, and shameless prostitute. This image is what patriarchy intends to endure as

הקדמה
עיון זה מטפל ביסוד עיקרי במבנה השירי, כלומר הצורה השירית, המהווה את היסוד הבולט והחשוב ביותר
בשירה, אין שיר בעל ערך אמנותי שלא מכיל צורה שירית יפה.
העיון הזה כולל מבוא על הצורה השירית , בו הצגנו דעות של מבקרים ערביים ומערביים בולטים ביחס הנושא ,
למען הגשת צורה מפורשת להבנת מבנה הצורה השירית . סקרנו את היסודות העיקריים שנשענה עליהם
הצורה השירית ומהן: הדמיון, הדמוי, מטאפורה, סמל, סיפקנו הסבר מפורט על