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A Hybrid model for Evaluation of E-learning user Satisfaction with TAM and ELQ Approach

کلیدواژه: user satisfaction,exploratory factor analysis,e-learning quality,technology acceptance model

نویسندگان: Sayardoost Tabrizi Sina, Sabzian Azin, Moeini Ali

ناشر: - International Journal of Information and Communication Technology Research

With the start of the Coronavirus epidemic, remote education systems were widely accepted in all universities around the world. The University of Tehran, the top university in Iran, had an electronic education system since 2010, which provided services in this field to the academic community. With t... 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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Introducing a Hybrid model Based on Certainty factor Statistical and Bagging Methods for Discovering Groundwater

کلیدواژه: Groundwater level potential,certainty factor (CF) method,bagging method,Geographic information system (GIS)

نویسندگان: RAZAVI TERMEH SEYED VAHID, RAHIMZADEGAN MAJID

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

Due to climate change and growth of urban communities, the need for groundwater and exploration of these resources are increasing. Therefore, the purpose of this study was to provide a groundwater potential mapping using the geographic information system (GIS) in a region located in Booshehr plain u... ادامه

سال:2020

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Simulation of Groundwater Level Using the Hybrid model Wavelet-Self Adaptive Extreme learning Machine

کلیدواژه: Artificial intelligence,Groundwater aquifer,Hybrid model,Kabodarahang,Simulation

نویسندگان: MALEKZADEH MARYAM, KARDAR SAEID, SHABANLOU SAEID

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

In present study, the groundwater level of the Kabodarahang region located in Hamadan Province was simulated using novel techniques such as Self-Adaptive Extreme learning Machine (SAELM) and WaveletSelf-Adaptive Extreme learning Machine (WA-SAELM). Firstly, the effective lags were detected using the... ادامه

سال:2020

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An Evaluation of Mutual Funds Performance in Iranian Capital Market by combining Market Timing models with the Fama and French three factor model

کلیدواژه: market-timing,security selection,combined models,mutual fund,Fama & French model

نویسندگان: Abdoh Tabrizi Hossein, asadi gharehjeloo behrang

ناشر: دانش سرمایه گذاری - INVESTMENT KNOWLEDGE

The aim of this study is to consider the combination of market timing models with Fama-French three factor model to evaluate the performance of mutual funds in Iran capital market. To follow this purpose, a sample of 12 mutual funds for the years of 2011-2015 has been chosen. At first step, active m... ادامه

سال:2019

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A Hybrid model for Back-Break Prediction using XGBoost Machine learning and Metaheuristic Algorithms in Chadormalu Iron Mine

کلیدواژه: backbreak, extreme gradient boosting (XGB), Particle swarm optimization (PSO), gray wolf optimization (GWO), Chadormalu iron mine

نویسندگان: Nabavi Zohreh, Mirzehi Mohammad, Dehghani Hesam, Ashtari Pedram

ناشر: معدن و محیط زیست - JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)

Back-break is one of the adverse effects of blasting, which results in unstable mine walls, high duration, falling machinery, and inappropriate fragmentation. Thus, the economic benefits of the mine are reduced, and safety is severely affected. Back-break can be influenced by various parameters such... ادامه

سال:2023

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A model for Innovative claimate in Islamic Azad University Based on Organizational learning, Organizational Justice and Ethical Leadership

کلیدواژه: innovative climate,organizational learning.Organizational justice,ethical ledearship

نویسندگان: SAMADIAN ABOLFAZL, NAZEM FATTAH, Saber Grekani Afsaneh

ناشر: مدیریت بر آموزش سازمان ها - MANAGING EDUCATION IN ORGANIZATION

The purpose of this study was to present a model for innovative climate in Islamic Azad University Based on Organizational learning, Organizational Justice and Ethical Leadership. The research method is descriptive-survey with emphasis on structural equation modeling and the statistical population o... ادامه

سال:2020

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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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Prediction of Groundwater Level Changes Using Hybrid Wavelet Self-Adaptive Extreme learning Machine model-Observation Well of Sarab Qanbar, Kermanshah

کلیدواژه: Groundwater level,Self-Adaptive Extreme Learning Machine (SAELM),Uncertainty analysis,Wavelet transform

نویسندگان: Yosefvand f., SHABANLOU S.

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

In this study, the groundwater level (GWL) of the Sarab Qanbar region located in the south of Kermanshah, Iran, was estimated using the Wavelet-Self-Adaptive Extreme learning Machine (WA-SAELM) model. An artificial intelligence method called “ Self-Adaptive Extreme learning Machine” an... ادامه

سال:2020

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modeling the Impact of Corona Outbreak on acceptance and Development of Digital Banking

کلیدواژه: Digital banking,Corona virus,Systems dynamics

نویسندگان: Shahabi Vahid, AZAR ADEL, FAEZY RAZI FARSHAD, FALLAH SHAMS MIRFEYZ

ناشر: مطالعات رفتار مصرف کننده - CONSUMER BEHAVIOR STUDIES

The impact of the coronavirus outbreak on the global economy will certainly be profound, long-term, and perhaps worse for some vulnerable countries. The epidemic of this virus is one of the biggest shocks in the current generation. Because the daily economic activities of many nations have changed o... ادامه

سال:2021

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