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New Evidence from Oil Rent and Economic Growth in OPEC Countries: An Application of the Hybrid Model of Threshold Markov Switching Model

کلیدواژه: Oil Rent,Economic Growth,OPEC Countries,The Hybrid Threshold Markov Switching Model

نویسندگان: Sedaghat Kalmarzi Haniyeh, FATTAHI SHAHRAM, SOHAILI KIOMARS

ناشر: مدلسازی اقتصادسنجی - JOURNAL OF ECONOMIC ModelING

The relationship between Oil and economic growth is one of the most important issues in the Oil-exporting countries that the nature of the relationship is important for the economic policymakers of these countries. The purpose of this study was to examine the effects of Oil rent on economic growth i... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

مشاهده/دانلود

A New Transformer-Based Hybrid Model for Forecasting Crude Oil Returns

کلیدواژه: Deep learning,Transformer,Forecasting,Brent oil returns,Hybrid Model

نویسندگان: Abdollah Pour Mohammad Mahdi, Hajizadeh Ehsan, Farineya Parsa

ناشر: - AUT Journal of Modeling and Simulation

In recent years, crude Oil has been one of the most important energy sources in the world which impacts political stability and economic security in many countries. Furthermore, Crude Oil price also has a huge influence on the world economic pattern due to being directly utilized in different indust... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

11 بازدید

مشاهده/دانلود

Model Predictive Control of a Fault-Tolerant-Hybrid Excitation Axial Field-Flux-Switching Permanent Magnet Motor

کلیدواژه: Hybrid Excited Axial Field Flux-Switching Motor,Model Predictive Torque Control,Direct Torque Control Open Circuit Fault,Electric Vehicle

نویسندگان: jamali arand s., Rahmani Fard J.

ناشر: - AUT Journal of Electrical Engineering

To improve the performance of the fault-tolerant-Hybrid excitation axial field fluxSwitching (FT-HEAFFS) motor and attain the minimum copper loss, a fault-tolerant control method based on the Model predictive control algorithm is proposed. Considering a 6 stator slots/13-rotor poles FT-HEAFFS machin... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

13 بازدید

مشاهده/دانلود

The Impact of the OPEC Summit on Iran's Oil Revenue (SVAR-Quantile Hybrid Model Approach)

کلیدواژه: OPEC Statement,Crude Oil Price,Structural Vector Auto Regression Model,Quantitative Method,Iranian Oil Export Revenue

نویسندگان: JAMALI LEILA, MOUSAVI S.N., Aminifard A.

ناشر: مطالعات اقتصادی کاربردی ایران (مطالعات اقتصادی کاربردی) - JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN

Given the economic dependence of OPEC member countries, including Iran, on crude Oil prices and export earnings, and considering the fact that one of the factors affecting crude Oil prices is OPEC decisions, in this study, we investigate the impact of OPEC Summit Statements (increase, decrease and s... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

12 بازدید

مشاهده/دانلود

Non– Intrusive Appliance Load Disaggregation in Smart Homes Using Hybrid Constrained Particle Swarm Optimization and Factorial Hidden Markov Model

کلیدواژه: Non–,Intrusive Appliance Load Disaggregation,Smart Home,Swarm Particle Optimization,Factorial Hidden Markov Model

نویسندگان: DEJAMKHOOY ABDOLMAJID, AHMADPOUR ALI, POURJAFAR SAEED

ناشر: JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY - JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY

Nowadays, the prediction of the load performances in the smart systems is necessary to generate the minimum energy. In a smart home, there are various appliances that each of them has different behavior. These differences defined as appliance states. In this paper, an effective Hybrid method is prop... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

15 بازدید

مشاهده/دانلود

Prediction of Land Cover Changes in Horizon of 2028 through a Hybrid Model of Markov Chain and Cellular Automata; Catchment Area around Bazangan Lake Case Study

کلیدواژه: Prediction of Changes,Markov Chain Model,Cellular Automata,Bazangan Lake,Remote Sensing

نویسندگان: ALIKHAH ASL M., REZVANI F.

ناشر: تحقیقات جغرافیایی - GEOGRAPHICAL RESEARCH

Introduction and Background Detection and prediction of changes are necessary for maintenance of an ecosystem particularly in rapidly-changing and often unplanned regions in developing countries. Aims This study predicts the land use changes in catchment area around Bazangan Lake for the year of 202... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

14 بازدید

مشاهده/دانلود

An Introduction to Hybrid Model Inventory Control with a Green Supplier Selection Model under Uncertainty

کلیدواژه: Green supply Chain Management,Vendor Managed Inventory,Supplier Selection Problem,Multi-Objective Optimization

نویسندگان: REZAEE S., Khakestari M.

ناشر: تحقیق در عملیات در کاربردهای آن - Journal of Operational Research in its Applications

In the current decade, determining the most appropriate supplier as a strategic factor in the supply chain has attracted lots of consideration. On the other hand, organizations do necessary measures to implement green supply chain management in order to improve environmental and economic performance... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

17 بازدید

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