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Hybrid Artificial Neural Network-Geostatistics Model for Urban Water Consumption Prediction. A Case Study: Osku City

کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City

نویسندگان: Goli Ejlali R.

ناشر: آب و فاضلاب - Water and Wastewater

The prediction of water consumption in urban basins is of immense importance for the management of water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه

سال:2018

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Just price in the markets

کلیدواژه:

نویسندگان: GEISST, CHARLES R.

ناشر: Yale University Press

... ادامه

سال:2023

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Modeling the Role of Stakeholder Interactions and Corporate Social Responsibility in Promoting Natural Resource Governance: A Social Capital-Based Approach

کلیدواژه: Effectiveness, Mediation, structural equation model, Takab

نویسندگان: Goli Saba, Islami Iman, Bijani Masoud, Azadi Hossein

ناشر: حکمرانی منابع طبیعی - Natural Resources Governance

Effective natural resource governance requires moving beyond state-centered approaches to embrace interactive frameworks that involve diverse stakeholders in decision-making. Despite growing global attention to good governance, the mediating role of Corporate Social Responsibility (CSR) in linking s... ادامه

سال:2025

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Performance Evaluation of Mutual Funds Using the Value-Based DEA Method

کلیدواژه: Performance Evaluation,Mutual Funds,Value-based DEA method

نویسندگان: Ghaziyani Khadijeh, Bagheri Seyede Fatemeh, Ejlali Babak

ناشر: مدیریت نوآوری و راهبردهای عملیاتی - INNOVATION MANAGEMENT AND OPERATIONAL STRATEGIES

Purpose: The purpose of this study is to investigate the impact of the financial crisis on the investment fund industry using dynamic evaluation and comparing the performance of investment funds in different years from 2012 to 2017. Value-based data envelopment analysis is used to evaluate the perfo... ادامه

سال:2020

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Applying Hybrid Models Based on Deep Machine Learning in Smart Agriculture (Case study: Forecasting the Future Price of Pistachios)

کلیدواژه: Datamining, Deep learning neural network, Future price forecast, Monte Carlo-Markov chain, Wavelet theory

نویسندگان: Haj Seyedjavadi S.M.R., Heydari R.

ناشر: اقتصاد و توسعه کشاورزی - Journal of Agricultural Economics & Development

Introduction The agricultural sector is one of the most basic and vital component in the social and economic structures of any country. Today, with increasing in the world's population and needing to provide food on the other hand, and increasing in the price fluctuations of agricultural products on... ادامه

سال:2023

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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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The Study of the Necessity of the Justice of the Islamic System's Agents in the Constitution of the Islamic Republic of Iran from the Point of View of Islamic Sources

کلیدواژه: justice,constitution,brokers,islamic government

نویسندگان: Ghasemi Khoyi Y., Hamzaban Gharamaleki R.

ناشر: مطالعات معرفتی در دانشگاه اسلامی - KNOWLEDGE STUDIES IN THE ISLAMIC UNIVERSITY

Objectives: The purpose of this study is to explain the necessity of the justice of the Islamic system's agents in the constitution of the Islamic Republic of Iran from the point of view of Islamic sources and to pay attention to the selection of agents of the Islamic system. Method: Using descripti... ادامه

سال:2019

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Evaluation of Accuracy of Hybrid Model of Gene Expression Planning-Fuzzy Logic in Estimation of Land Subsidence Risk

کلیدواژه: Fuzzy logic,Gene Expression Programming (GEP),Geographical Information System (GIS),Land subsidence,Varamin aquifer

نویسندگان: Mohebbi Tafreshi Gh., NAKHAEI M., LAK R.

ناشر: علوم زمین - GEOSCIENCES

Land subsidence is a nonlinear and complex process that data-driven computational intelligence models can model it. In this study, the accuracy and efficiency of hybrid fuzzy logic gene expression planning hybrid model in estimating land subsidence risk and its factors in Varamin aquifer standardize... ادامه

سال:2021

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A Two-Stage Stochastic Programming Model for the Optimal Sizing of PV/Diesel/Battery in Hybrid Electric Ship System

کلیدواژه: Monte Carlo method,Photovoltaic generation,Ship power system,Stochastic programming,Uncertainty

نویسندگان: DOLATABADI A., EBADI R., Mohammadi ivatloo B.

ناشر: بهره برداری و اتوماسیون در مهندسی قدرت - JOURNAL OF OPERATION AND AUTOMATION IN POWER ENGINEERING

Ships play the major role in bulk transportation and they need their special energy system. This paper proposes a stochastic programming method for optimal sizing of a hybrid ship power system with energy storage system (ESS), photovoltaic power (PV) and diesel generator. To account for uncertaintie... ادامه

سال:2019

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