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Multi-Focus Image Fusion Based on Pixel Significance Using Counterlet Transform
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Abstract

 The objective of image fusion is to merge multiple sources of images together in such a way that the final representation contains higher amount of useful information than any input one.. In this paper, a weighted average fusion method is proposed. It depends on using weights that are extracted from source images using counterlet transform. The extraction method is done by making the approximated transformed coefficients equal to zero, then taking the inverse counterlet transform to get the details of the images to be fused. The performance of the proposed algorithm has been verified on several grey scale and color test  images, and compared with some present methods.

Keywords: image fusion, counterlet transform (CT), pixel significance, weighted average.

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Publication Date
Mon Oct 31 2022
Journal Name
International Journal Of Intelligent Engineering And Systems
Robot Path Planning in Unknown Environments with Multi-Objectives Using an Improved COOT Optimization Algorithm
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Scopus (11)
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Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
تطبيقات منحنى لورنز ودليل التركيز في كشف تغايرات مساحات وتكرارات وحدات الخارطة لمشاريع من وسط السهل الرسوبي العراقي
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Publication Date
Sun Dec 10 2017
Journal Name
Al-academy
The importance of folkloric games in the Iraqi child theatre
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The folkloric games widely considered as expressional forms of nations culture and their environment which can be an important element in Iraqi child theatre shows. For its moral and habits relation to the needs of children which present an effective mean to preserve the true identity of the society character and moral. The research concluded many topics considering the importance of folkloric games in the Iraqi child theatre, the first chapter studied the problem , the necessity , the aim of the research to clarify the importance of folkloric games in Iraqi child theatre, the second chapter is the theoretical part of the research that studied the concept of folkloric games and its implementation in Iraqi child theatre . the third chapte

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Publication Date
Sun Jun 01 2008
Journal Name
Journal Of The College Of Languages (jcl)
Çağdaş Türk şiirinde imgenin rolü ve önemi Giriş
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Şiiri şiir yapan öğlerin başında imge (hayal, tasavvur, imaj) gelir. İmgesiz şiir düşünülmez. İmge nedir?
İmge duyuyla elde edilen güzelliklerin, deneyimin dil aracıyla ortaya konulmasıdır. Şiiri şiir yapan sadece içeriği değil. Sunuluşu, imgelerin etkili bir biçimde kullanılışı, şairinin bu konudaki yetenek ve ustalığı, insana hitap etmesi, değişimlere açık oluşu, evrenselliği, kalıcılığı, sıra dışı güçlü anlatığına başvuruşu, söz sanatlarından yararlanması, öz anlatım biçimi, kimi zaman alışılmamış bağdaştırmaları bünyesinde barındırması ve sık sık da yinelemeler yardımıyla zengin anlatım aktarımıdır.
Biz bu çalışmamızda şiirde yalnızca imge

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Publication Date
Sat Sep 30 2017
Journal Name
Al-khwarizmi Engineering Journal
Implementation of Transmitter Zigbee System based on Wireless Sensor Network of IEEE 802.15.4 Standard
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Abstract

 

Zigbee is considered to be one of the wireless sensor networks (WSNs) designed for short-range communications applications. It follows IEEE 802.15.4 specifications that aim to design networks with lowest cost and power consuming in addition to the minimum possible data rate. In this paper, a transmitter Zigbee system is designed based on PHY layer specifications of this standard. The modulation technique applied in this design is the offset quadrature phase shift keying (OQPSK) with half sine pulse-shaping for achieving a minimum possible amount of phase transitions. In addition, the applied spreading technique is direct sequence spread spectrum (DSSS) technique, which has

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Exploring Important Factors in Predicting Heart Disease Based on Ensemble- Extra Feature Selection Approach
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Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac

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Scopus (6)
Crossref (4)
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Publication Date
Mon Jul 01 2024
Journal Name
Journal Of Engineering
Efficient Intrusion Detection Through the Fusion of AI Algorithms and Feature Selection Methods
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With the proliferation of both Internet access and data traffic, recent breaches have brought into sharp focus the need for Network Intrusion Detection Systems (NIDS) to protect networks from more complex cyberattacks. To differentiate between normal network processes and possible attacks, Intrusion Detection Systems (IDS) often employ pattern recognition and data mining techniques. Network and host system intrusions, assaults, and policy violations can be automatically detected and classified by an Intrusion Detection System (IDS). Using Python Scikit-Learn the results of this study show that Machine Learning (ML) techniques like Decision Tree (DT), Naïve Bayes (NB), and K-Nearest Neighbor (KNN) can enhance the effectiveness of an Intrusi

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Publication Date
Tue Jan 29 2019
Journal Name
Journal Of The College Of Education For Women
Object Filling Using Table Based Boundary Tracking
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The feature extraction step plays major role for proper object classification and recognition, this step depends mainly on correct object detection in the given scene, the object detection algorithms may result with some noises that affect the final object shape, a novel approach is introduced in this paper for filling the holes in that object for better object detection and for correct feature extraction, this method is based on the hole definition which is the black pixel surrounded by a connected boundary region, and hence trying to find a connected contour region that surrounds the background pixel using roadmap racing algorithm, the method shows a good results in 2D space objects.
Keywords: object filling, object detection, objec

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Publication Date
Fri Jan 01 2016
Journal Name
Ibn Al-haitham Journal For Pure And Applied Science
Genetic--Based Face Retrieval Using Statistical Features
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Publication Date
Thu Feb 24 2022
Journal Name
Journal Of Educational And Psychological Researches
The Effect of using Project - Based Learning method in development intensive reading skills at middle school students
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The purpose of this research is to identify the effect of the use of project-based learning in the development of intensive reading skills at middle school students. The experimental design was chosen from one group to suit the nature of the research and its objectives. The research group consisted of 35 students. For the purpose of the research, the following materials and tools were prepared: (List of intensive reading skills, intensive reading skills test, teacher's guide, student book). The results of the study showed that there were statistically significant differences at (0.05) in favor of the post-test performance of intensive reading skills. The statistical analysis also showed that the project-based learning approach has a high

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