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A Model for Explaining Organizational Citizenship Behavior Based on Job Satisfaction and Organizational Justice in Arsanjan Islamic Azad University

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نویسندگان:

ناشر: Journal of Research in New Approaches to Educational Management - Journal of Research in New Approaches to Educational Management

... ادامه

سال:2017

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the Conceptual Model of Causal Relationship between Religious Attitude and Organizational Effectiveness: The Mediating Role of Organizational Justice, Organizational Trust and Job Satisfaction in Sports Managers of the Armed Forces of the Islamic Republic of Iran

کلیدواژه: Religious Attitude,Organizational Effectiveness,Organizational Justice,Organizational Trust,Job Satisfaction

نویسندگان: Moghaddas Shargh Mostafa, Nik Aeen Zinat, Tojari Farshad

ناشر: روانشناسی نظامی - JOURNAL OF MILITARY PSYCHOLOGY (JMP)

The aim of the current research was to examine the fit of the presented model in the context of the causal relationship between religious attitude and organizational effectiveness with the mediating role of organizational justice, organizational trust and job Satisfaction in sports managers of the I... ادامه

سال:2023

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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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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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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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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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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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A Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds

کلیدواژه: Cardiac abnormalities,Heart rate processing,Fuzzy systems,Hummingbird algorithm

نویسندگان: Aghaei Nezhad Ehsan, Taimourei Yansary Ramazan, RIAHI ALI

ناشر: انفورماتیک سلامت و زیست پزشکی - Journal of Health and Biomedical Informatics

Introduction: Different factors are effective in detecting heart abnormalities. The greater the number of these factors, the greater the uncertainty in the detection of heart abnormalities. In the uncertainty condition in response of prediction model, the fuzzy systems are one of the most effective ... ادامه

سال:2019

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Hybrid Modeling for Forecasting of Domestic Business Tourism Demand in Tehran

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

نویسندگان: ZANDI EBTEHAL

ناشر: میراث و گردشگری - HERITAGE AND TOURISM JOURNAL

One of the most important events in the tourism industry of each country is the demand for a product or destination of tourism. There will always be distances and deviations between actual and predicted values, but the use of scientific and modern methods of forecasting will cause the results to rea... ادامه

سال:2018

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