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The importance of providing Islamic finance services for non- Muslims in Europe
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Abstract

             This paper follows the growing interest and continuity of Islamic finance products worldwide, which has encouraged the formulation of financial institutions based on the concepts of Islamic Sharia in many countries of the world and is no longer limited to Islamic countries only, and  Not exclusive to Muslims which is due to Islamic finance services and their ability to apply in non-Islamic societies, and perhaps what encouraged the development and progress of this industry Islamic history, which was attended by many different models With the development of trade's share between different countries as well as trips carried out by Muslims trade in the world and their role in the spread of Islam in Africa, Asia, Europe and so on.

             The paper focuses on the need to direct and allocate Islamic funding to non-Muslims so as not to be exclusive to Muslims only and thus highlights the ability of Islamic economic services and its ability to expand its outreach, this will  help to activating many of the desired objectives and to clarify and reflect the Islamic principles of other societies, and thus achieve the universality of Islam and reduce the manifestations of hostility to Islam and Muslims in the world

         The paper concludes that the spread of various Islamic financial institutions in European countries, including banks, Islamic insurance companies and Islamic sukuk, and the establishment of identical institutions in Europe all this confirms the ability of Islamic banking to spread in the world,

Islamic banking has emerged as one of the fastest-growing industry sectors over recent years. Islamic Finance has now become a global phenomenon due in large part because it is perceived as less risky than the conventional finance – especially during crises.

 

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Publication Date
Mon Jan 01 2018
Journal Name
Aip Conference Proceedings
Study optoelectronic properties for polymer composite thick film
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Publication Date
Thu Jun 16 2022
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
Optimization algorithms for transportation problems with stochastic demand
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The purpose of this paper is to solve the stochastic demand for the unbalanced transport problem using heuristic algorithms to obtain the optimum solution, by minimizing the costs of transporting the gasoline product for the Oil Products Distribution Company of the Iraqi Ministry of Oil. The most important conclusions that were reached are the results prove the possibility of solving the random transportation problem when the demand is uncertain by the stochastic programming model. The most obvious finding to emerge from this work is that the genetic algorithm was able to address the problems of unbalanced transport, And the possibility of applying the model approved by the oil products distribution company in the Iraqi Ministry of Oil to m

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Publication Date
Sun Feb 10 2019
Journal Name
Iraqi Journal Of Physics
Thermoelectric power for thermally deposited cadmium telluride films
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Thermal evaporation method has used for depositing CdTe films
on corning glass slides under vacuum of about 10-5mbar. The
thicknesses of the prepared films are400 and 1000 nm. The prepared
films annealed at 573 K. The structural of CdTe powder and prepared
films investigated. The hopping and thermal energies of as deposited
and annealed CdTe films studied as a function of thickness. A
polycrystalline structure observed for CdTe powder and prepared
films. All prepared films are p-type semiconductor. The hopping
energy decreased as thickness increased, while thermal energy
increased.

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Publication Date
Thu Sep 01 2016
Journal Name
Photonics And Nanostructures - Fundamentals And Applications
Design guideline for plasmonic 16-QAM optical modulator
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Publication Date
Sun Sep 03 2023
Journal Name
Misan Journal Of Academic Studies
A review on various methods for dehazing images
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In this paper, a literature survey was introduced to study of enhancing the hazy images , because most of the images captured in outdoor images have low contrast, color distortion, and limited visual because the weather conditions such as haze and that leads to decrease the quality of images capture. This study is of great importance in many applications such as surveillance, detection, remote sensing, aerial image, recognition, radar, etc. The published researches on haze removal are divided into several divisions, some of which depend on enhancement the image, some of which depend on the physical model of deformation, and some of them depend on the number of images used and are divided into single-image and multiple images dehazing model

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Publication Date
Mon Jan 01 2024
Journal Name
Lecture Notes On Data Engineering And Communications Technologies
Utilizing Deep Learning Technique for Arabic Image Captioning
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Publication Date
Sun Mar 29 2020
Journal Name
International Journal Of Simulation: Systems, Science & Technology
A New Compact Microstrip Antenna for WSN Applications
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Publication Date
Mon Sep 01 2014
Journal Name
2014 Ieee 25th Annual International Symposium On Personal, Indoor, And Mobile Radio Communication (pimrc)
Percolation condition for interference-limited cognitive radio networks
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In this paper, we characterize the percolation condition for a continuum secondary cognitive radio network under the SINR model. We show that the well-established condition for continuum percolation does not hold true in the SINR regime. Thus, we find the condition under which a cognitive radio network percolates. We argue that due to the SINR requirements of the secondaries along with the interference tolerance of the primaries, not all the deployed secondary nodes necessarily contribute towards the percolation process- even though they might participate in the communication process. We model the invisibility of such nodes using the concept of Poisson thinning, both in the presence and absence of primaries. Invisibility occurs due to nodes

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Publication Date
Tue Dec 21 2021
Journal Name
Mendel
Hybrid Deep Learning Model for Singing Voice Separation
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Monaural source separation is a challenging issue due to the fact that there is only a single channel available; however, there is an unlimited range of possible solutions. In this paper, a monaural source separation model based hybrid deep learning model, which consists of convolution neural network (CNN), dense neural network (DNN) and recurrent neural network (RNN), will be presented. A trial and error method will be used to optimize the number of layers in the proposed model. Moreover, the effects of the learning rate, optimization algorithms, and the number of epochs on the separation performance will be explored. Our model was evaluated using the MIR-1K dataset for singing voice separation. Moreover, the proposed approach achi

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Publication Date
Sun Nov 01 2020
Journal Name
Journal Of Physics: Conference Series
Advanced nano membrane for an alkaline Fuel Cell
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Abstract<p>Structural and optical properties were studied as a function of Nano membrane after prepared, for tests. Nano membrane was deposited by the spray coating method on substrates (glass) of thickness 100 mm. The X-ray diffraction spectra of (CNTs, WO3) were studied. AFM tests are good information about the roughness, It had been designed electrolysis cell and fuel cell. Studies have been performed on electrochemical parameters.</p>
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