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Development of Wavelet-Kstar Algorithm Hybrid Model for the Monthly Precipitation Prediction (Case Study: Synoptic Station of Ahvaz)

کلیدواژه: Decomposition Level,Mother Wavelet,Willmott Index,Violin Plot

نویسندگان: AHMADI FARSHAD, MADDAH MOHAMMAD AMIN

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Predicting hydrological parameters, especially rainfall, has played a very important role in water resources management and planning. Therefore, the development of methods giving accurate estimates has always been of interest to researchers. In this study, precipitation data from the Ahvaz synoptic ... ادامه

سال:2021

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Prediction of Monthly River Flow Using Hybridization of Linear Time Series Models and Bayesian network (Case Study: Bakhtiari River)

کلیدواژه: Bayesian network,Input pattern,Model development,Stationary test

نویسندگان: AHMADI FARSHAD, VALINIA MIR MAHMOOD

ناشر: مدیریت آب و آبیاری - Journal of Water and Irrigation Management

One of the most important issues in water resources management is the preparation and development of appropriate models in order to predict the streamflow more accurately. For this purpose, in the present study, linear time series models (ARMA), intelligent Bayesian network (BN) and BN-ARMA hybrid m... ادامه

سال:2020

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Inheritance of Consumer Behavior: Providing a Model for Improving Banking Services Based on Meme Theory with Emphasis on Ethical Components

کلیدواژه: Memes theory,Banking services,Inheritance of consumer behavior,ethics

نویسندگان: ehsani fard Mehdi, FAEZI RAZI FARSHAD, AMIN BEYDOKHTI ALIAKBAR

ناشر: اخلاق در علوم و فناوری - Ethics in Science and Technology

Background: Meme is a hereditary theory and an idea, behavior, or method that is transmitted from one person to another through culture. Inheritance theories differ in the degree of adaptation and capability, that is, adaptation to the socio-cultural environment in which they are spread. More adapta... ادامه

سال:2020

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The efficiency of Data-Driven Models for Months ahead Groundwater Level Forecasting Using a Hybrid Gamma Test and Genetic Algorithm Model

کلیدواژه: Groundwater levels,Gamma Test,Artificial neural network,SVR,Genetic Algorithm

نویسندگان: mirarabi ali, Naseri Hamidreza, NAKHAEI MOHAMMAD, Alijani Farshad

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In order to implement sustainable groundwater resources management, it is necessary to model the behavior of groundwater level. Groundwater is a nonlinear and complex system which Data-driven models can be modeled this system without approximation and simplification. This study evaluates the perform... ادامه

سال:2018

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Designing Justice Index in Islamic Banking with Content Analysis Approach and Fuzzy Decision Making Method

کلیدواژه: Justice Index, islamic banking, content analysis, fuzzy AHP

نویسندگان: Mohagheghnia Mohammad Javad, Seilsepoor Hossein, Ahmadi Shima

ناشر: تحقیقات مالی اسلامی - Islamic Financial Research

One of the components of the Islamization of banks after the implementation of usury-free banking has been the implementation of justice. In this research, the design of the justice index in Islamic banking as one of the sub-systems of the Islamic economy has been addressed. In Islam, justice is tie... ادامه

سال:2023

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Investigating the Simultaneous Effect of Corporate Governance and Audit Quality on Earnings Quality with the Mediating Role of Capital Structure and Financial Performance

کلیدواژه: Earnings Quality,Corporate Governance,Audit Quality,Capital Structure,Structural Modeling

نویسندگان: Ahmadi Mohammad Ramazan, AHANGARI ABDOLMAJID, Hajeb Hamid Reza

ناشر: مدیریت دارایی و تامین مالی - Journal of Asset Management and Financing

Objective: Earnings quality is one of the most substantial features of financial reporting, influencing the optimal capital structure. This substantiality probably results from the fact that earning is generally considered as one of the main inputs of valuation models for both financial investors an... ادامه

سال:2019

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Analyzing the Capability-attractiveness Matrix for Emerging Technologies in Iran’s Humanitarian Supply Chain

کلیدواژه: Humanitarian supply chain,Emerging technologies,Best-worst method,Capability-attractiveness matrix

نویسندگان: Sadeghi Moghadam Mohammad Reza, Noferesti Reihane, Farahani Amin

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: The influence of climate change on the frequency and severity of natural disasters is ever-increasing on a global scale. While natural disasters are unpredictable, emerging technologies can help with their prevention. Technologies allow responders to act sooner rather than later. The impo... ادامه

سال:2022

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An Optimal Corporate Governance Framework for Internationalization: A case study

کلیدواژه: Corporate Governance,Corporate Leadership Framework,Internationalization,Corporate Leadership Mechanisms,Oil Industry General Policy

نویسندگان: TOOSI ABBAS, AHMADI ABBAS, Seyyed Hashemi Touloun Mohammad Reza

ناشر: فرایند مدیریت و توسعه - Management and Development Process

An analysis of the international environment of oil industry and its developments shows that the oil industry sector will remain as an essential component of both energy and world economy. However, it will be a quite different environment with different characteristics; meaning, it will be an indust... ادامه

سال:2021

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Financial Inclusion and Poverty Alleviation in Muslim-majority Countries: The Role of Islamic Finance and Qard Hassan

کلیدواژه:

نویسندگان: Mohseni-Cheraghlou, Amin

ناشر: Palgrave Macmillan (Ed.) 2017 – Financial Inclusion and Poverty Alleviation

... ادامه

سال:2017

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