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A New Perspective of Benevolent Loan, QARD Al-Hassan, Using Upfront Payment ‘Mesbah Point’

کلیدواژه: benevolent loan ؛ Islamic finance ؛ mesbah finance ؛ Microfinance ؛ Qard al-hasan

نویسندگان: A. Izadyar ؛ Feroza Ragnath

ناشر: Journal of Economic & Financial Studies

Bound by religious or moral beliefs of the participants, benevolent loan, Qard al-hasan, is an interest free loan in which only the return of the capital is required during the term of the loan. Lack of institutional investor participation, as well as high administrative fees, are some of the major ... ادامه

سال:2014

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Financing SMEs Through the Islamic Qard al-Hasan

کلیدواژه:

نویسندگان: A. Sa’ad ؛ A. A. Pitchay

ناشر:

Financing small and medium enterprises (SMEs) is one of the most important mechanisms to boost economic growth in both developed and developing nations. The contributions of SMEs in many countries’ gross domestic product (GDP) have been overwhelming. SMEs improve job creation in all sectors of the e... ادامه

سال:2020

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Hybrid Time Delay Petri Nets as a Mathematical Novel Tool to Model Dynamic System with Current Sample Time

کلیدواژه: Hybrid Petri Nets,Current sample time signals,Capsubot robot,Genetic algorithm

نویسندگان: Ahangarani Farahani A., DIDEBAN A.

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

The existing modeling methods using Petri Nets, have been successfully applied to model and analyze dynamic systems. However, these methods are not capable of modeling all dynamic systems such as systems with the current sample time signals, systems including various subsystems and multi-mode system... ادامه

سال:2018

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Hybrid Artificial Intelligence Model Development for Roller-compacted Concrete Compressive Strength Estimation

کلیدواژه: Artificial Neural Network,Artificial Bee Colony Algorithm,Roller-Compacted Concrete,Compressive strength

نویسندگان: Ranjbar A., Barahmand N., Ghanbari A.

ناشر: - International Journal of Engineering

This study implemented the artificial bee colony (ABC) metaheuristic algorithm to optimize the Artificial Neural Network (ANN) values for improving the accuracy of model and evaluate the developed model. Compressive strength of RCC was investigated using mix design materials in three forms, namely v... ادامه

سال:2020

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Hybrid Wavelet-M5 Model Application in Rainfall-Runoff Process Forecast (Case study: Aji Chay Catchment)

کلیدواژه: Artificial Network,Decision Tree,Rainfall-Runoff Modeling,Wavelet Transform

نویسندگان: Davanlou Tajbakhsh A., NOURANI V., Molajou A.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Rainfall-runoff process is one of the most important and complex phenomena in the hydrological cycle and therefore different views have been presented for modeling the phenomenon. Obviously, the recognition of the behavior of the catchment can play an important role in selecting the appropriate mode... ادامه

سال:2019

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The Presentation of a Hybrid Anomaly Detection Model Using Inverse Weight Clustering and Machine Learning in Cloud Environments

کلیدواژه: IDS,Cloud Computing,Fog Computing,Anomaly Detection,IoT

نویسندگان: Jafar Gholi Beik A., Shiri Ahmad Abadi M. E., Rezakhani A.

ناشر: پدافند الکترونیکی و سایبری - JOURNAL OF ELECTRONIC AND CYBER DEFENCE

Today, due to highly advanced attacks and intrusions, it has become very difficult to detect IoT attacks in cloud environments. Other problems with cloud systems include low error detection accuracy, false positive rates, and long computation times. In the proposed method, we present a hybrid intrus... ادامه

سال:2021

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The Impact of the OPEC Summit on Iran's Oil Revenue (SVAR-Quantile Hybrid Model Approach)

کلیدواژه: OPEC Statement,Crude Oil Price,Structural Vector Auto Regression Model,Quantitative Method,Iranian Oil Export Revenue

نویسندگان: JAMALI LEILA, MOUSAVI S.N., Aminifard A.

ناشر: مطالعات اقتصادی کاربردی ایران (مطالعات اقتصادی کاربردی) - JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN

Given the economic dependence of OPEC member countries, including Iran, on crude oil prices and export earnings, and considering the fact that one of the factors affecting crude oil prices is OPEC decisions, in this study, we investigate the impact of OPEC Summit Statements (increase, decrease and s... ادامه

سال:2021

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Simulation of Discharge Coefficient of Sharp-Crested Circular Weirs Using Hybrid ANFIS-Firefly Model

کلیدواژه: Circular weir,Discharge coefficient,Modeling,ANFIS,ANFIS-FA

نویسندگان: ALIZADEH A., YAGHOUBI B., SHABANLOU S.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

In this study, the discharge coefficient of sharp-crested weirs located on circular channels was modeled using the ANFIS and ANFIS-Firefly (ANFIS-FA) algorithm. Also, the Monte Carlo simulations (MCs) were used to enhance the compatibilities of the soft computing models. However, the k-fold cross va... ادامه

سال:2020

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A Hybrid Model Based on Multi-Attribute Decision Making and Fuzzy Multi-Objective Mathematical Programming for Stock Portfolio Evaluation and Selection Using Z-Number Approach

کلیدواژه: Multi-criteria Decision Making,Stocks Selection,Fuzzy AHP,Fuzzy Multi-objective Programming,Z-Number

نویسندگان: Kanaani A.H., Feylizadeh M.R., Hendalianpour A.

ناشر: تحقیق در عملیات در کاربردهای آن - Journal of Operational Research in its Applications

Selecting and creating a stock portfolio on the stock exchange is one of the most important competitive tools in this century. However, various types of research show that the success rate of stock selection and portfolio projects is not very high. Accordingly, it is necessary to pay special attenti... ادامه

سال:2023

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Introduction of a Hybrid Multi-phase Segmentation Method Emphasizing Agricultural Land Boundary Extraction based on a Combination of Active Contour Models

کلیدواژه: :Active Contour,Extraction of Agricultural Land Boundaries,Edge,Region Information,Multiphase Model

نویسندگان: sh. Haghshenas, EBADI H., KIANI A.

ناشر: علوم و فنون نقشه برداری - JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY

Detecting agricultural land borders from high-resolution imagery is a major challenge due to the complex earth environment، which has become a significant issue in researches. Lack of location data to determine the area and location of agricultural land، to control and plan about cultivation and foo... ادامه

سال:2019

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