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Islamic Banks Concern with the Poor and Micro Businesses: An Evaluation on their Al Qard Hasan (Beautiful Loan)

کلیدواژه: alleviating poverty ؛ Islamic bank ؛ micro businesses ؛ poor people ؛ Qard al-hasan

نویسندگان: E. Firmansyah

ناشر: International Conference of Integrated Microfinance Management

Islamic Banks came up with one of the notions as stated in the Quran (59:7)i, wealth must not be a perpetual distribution among the rich. This can be manifested in the form of distributing credit to the real business sector through a financing product, namely Al qard hasan (beautiful or benevolent l... ادامه

سال:2016

نوع سند: Article

134 دانلود

199 بازدید

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Performance Evaluation of Hybrid Reverse-Forward Osmosis (HRFO) Laboratory Model to Increase Production Efficiency of Desalination Process

کلیدواژه: Desalination,Hybrid Reverse-Forward Osmosis,Laboratory Model

نویسندگان: Hadadian Z., ANSARI M., HAGHIGHI A., MOGHIMIPOUR E.

ناشر: آب و فاضلاب - Water and Wastewater

Today, water desalination methods are of great importance in solving the freshwater crisis in the world, so that in recent years, the world's water desalination capacity has increased dramatically. Among them, the reverse osmosis membrane technology has been the most popular and the most commonly us... ادامه

سال:2021

نوع سند: Article

0 دانلود

15 بازدید

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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

نوع سند: Article

0 دانلود

15 بازدید

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Evaluating the Performance of GRU-LSTM Hybrid Model in Predicting the Dust Storms Events (Case Study: Khuzestan Province in Southwest of Iran)

کلیدواژه: Prediction,Dust Storm,SVM,GRU-LSTM Method,Khuzestan Province

نویسندگان: Ansari Ghojghar M., ARAGHINEJAD SH., BAZRAFSHAN J., ZAHRAIE B., PARSI E.

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

Understanding the frequency of dust storms in each area and being mindful of temporal-spatial variation of this event can help to monitor and reduce the damages induced by dust events. Due to the increasing development of metamodels and their combination with optimization algorithms used to model an... ادامه

سال:2021

نوع سند: Article

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