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Qard Hasan Issue in Mudarabah Takaful Model

کلیدواژه: issue in takaful model ؛ Mudarabah takaful model ؛ Qard Hasan

نویسندگان: Abd Rahim, Ahmad Khilmy ؛ Isa, Mohamad Yazid ؛ Naim, Asmadi Mohamed

ناشر: Islami Bank Training and Research Academy

This paper aims to examine the issues of Qard Hasan in relation to Mudarabah model in Malaysian Takaful practises. This paper has reviewed the problem of Qard Hasan in Takaful practises and the alternatives in mitigating the issues arose. Hence, qualitative research methodology is advocated to ensur... ادامه

سال:2017

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Social Takaful and Qard ul-Hassanah Banking Convergences (A Functional Approach)

کلیدواژه: Insurance ؛ Islamic banking ؛ Qard al-hasan ؛ Social Takaful Financing

نویسندگان: B. Bidabad ؛ R. Mohammadi ؛ M. Sherafati

ناشر: Journal of Applied Science and Agriculture

Social Takaful consists of two sections. The first one is “Public Takaful” (Takaful Aamm). It is based on the responsibility of individuals in the society to be concerned about the other’s needs and to fulfill their needs in a viable way. The other category of social Takaful is Zeman Ealah (Sustenan... ادامه

سال:2014

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Discrete Time Ruin Probability for Takaful (Islamic Insurance) with Investment and Qard-Hasan (Benevolent Loan) Activities

کلیدواژه: Hybrid-Takaful ؛ qard-hasan ؛ ruin analysis

نویسندگان: Dila Puspita ؛ Adam W. Kolkiewicz ؛ K. S. Tan

ناشر:

The main objectives of this paper are to construct a new risk model for modelling the Hybrid-Takaful (Islamic Insurance) and to develop a computational procedure for calculating the associated ruin probability. Ruin probability is an important study in actuarial science to measure the level of solve... ادامه

سال:2020

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Multilayer Modeling Framework for Hybrid Warfare Game

کلیدواژه: hybrid warfare, Modeling framework, War game, Agent-based

نویسندگان: Khorrami Yaser

ناشر: پدافند غیر عامل

Hybrid warfare has been one of the topics of interest in recent years. This warfare has been given special importance due to the involvement of different economic, political, social, military and similar layers and its analysis has been complicated. Therefore, in addition to the need to upgrade ... ادامه

سال:2024

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Modeling of the Diesel Hybrid Propulsion System for Vessels

کلیدواژه: Diesel Engine,Hybrid Vessel,Simulation

نویسندگان: JALILI IRAJ, Zarenejad Ashkezari Abbas

ناشر: مهندسی دریا - JOURNAL OF MARINE ENGINEERING

The energy management of ships to improve the efficiency of ships and reduce greenhouse gas emissions is among the most important issues that have been considered as a milestone in designing and constructing of vessels in recent years. The study of energy trends and attention to technological change... ادامه

سال:2019

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Watershed Change Detection Using Hybrid Conceptual Model-Artificial Intelligence

کلیدواژه: Watershed Land Use Change,Conceptual Rainfall-Runoff Model,Storage Coefficients,Artificial Intelligence,Wavelet-Entropy

نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Sharghi Elnaz

ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING

This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and severity via an inverse method for the Little River Watershed, USA. In this research, the artificial intelligence and soft computing capabilities such as wavelet-entropy were employed for t... ادامه

سال:2019

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Automatic Grayscale Image Colorization using a Deep Hybrid Model

کلیدواژه: Deep Learning,Convolutional Neural Network (CNN),Image Colorization,Encoder-decoder,Inception-v2,Computer Vision

نویسندگان: Kiani Kourosh, Hemmatpour Razieh, Rastgoo Razieh

ناشر: هوش مصنوعی و داده کاوی - JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING

Image colorization is an interesting yet challenging task due to the descriptive nature of obtaining a natural-looking color image from any grayscale image. To have a fully automatic image colorization procedure, we propose a convolutional neural network (CNN)-based model to benefit from the impress... ادامه

سال:2021

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Hybrid Learning Machine Metaheuristic Model for Estimating Groundwater Level

کلیدواژه: Groundwater level,Weighted least square support vector machine,Particle swarm optimization,Gravitational search algorithm-Efficiency

نویسندگان: Khosravi Shiva, Robati Amir

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Groundwater is the most reliable source of supply for potable water and supports a wide array of economic and environmental services. There is a significant concern that groundwater levels are declining due to intense aquifer use. The sustainable management of groundwater resources requires good pla... ادامه

سال:2021

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Hybrid Model of Forecasting Domestic Tourism Demand of Tehran City

کلیدواژه: Regression,Adaptive Neuro-Fuzzy Inference System (ANFIS),Support Vector Regression (SVR) Algorithm,Medical tourism,Forecasting of Domestic Tourism Demand

نویسندگان: FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL

ناشر: گردشگری و توسعه - TOURISM AND DEVELOPMENT

In recent years, with the changing pattern of holidays and the formation of short-term holidays, cities have found the opportunity for tourism development. Four types of the most important types of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views... ادامه

سال:2019

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The Development of a Hybrid Error Feedback Model for Sales Forecasting

کلیدواژه: Data mining,Machine learning theory,Supervised learning,Sales forecasting

نویسندگان: Farrokhbakht Foumani Mehdi, Moazami Goudarzi Sajad

ناشر: - Journal of Information Systems and Telecommunication - Journal of Information Systems and Telecommunication

Sales forecasting is one of the significant issues in the industrial and service sector which can lead to facilitated management decisions and reduce the lost values in case of being dealt with properly. Also sales forecasting is one of the complicated problems in analyzing time series and data mini... ادامه

سال:2021

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