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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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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

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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

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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

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Optimization of Hyperparameters in Hybrid Deep Learning Models for Sleep Apnea Detection Using Swarm Intelligence Algorithms

کلیدواژه: Sleep Apnea, HoneyBadger Optimizer, GreyWolf Optimizer, Convolutional neural network, Deep Recurrent Neural Network

نویسندگان: Fotouhi-Ghazvini Faranak, Badiee Maryam

ناشر: پژوهش های نظری و کاربردی هوش ماشینی - Journal of Applied and Basic Machine Intelligence Research

This study investigates the efficiency of CNN-DRNN hybrid classifiers in detecting sleep apnea using electrocardiogram (ECG) signals. Various CNN Models were evaluated, including AlexNet, VGG16, VGG19, and ZFNet, along with DRNN Models such as LSTM, GRU, and BiLSTM. These Models were compared with a... ادامه

سال:2025

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Application of Hybrid Data Mining Model (Genetic Algorithm-Wavelet-Deep Neural Network-Monte Carlo Method) for Forecasting the Price of Agricultural Products: A Case Study of Future Price of Saffron in Agricultural Commodity Exchange

کلیدواژه: Forecasting, Future Price of Saffron, Genetic algorithm, Wavelet Theory, Deep learning Neural Network, Monte Carlo Method

نویسندگان: Heydari Reza, Haj Seyed Javady Seyed Mohammad Reza

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

The price forecasting and its changes trend is one of the most important factors in decision making and formulating strategies related to agricultural products. This study aimed at presenting a hybrid data mining Model for accurate price forecasting of agricultural products, including nonlinear mode... ادامه

سال:2023

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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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Relationship between Stock Liquidity and Risk of Default in Iran’ s Petrochemical Industry and oil Products Companies: The Roles of Stock Liquidity in Information Efficiency and Corporate Governance

کلیدواژه: Liquidity,Block holders,Default risk,Information efficiency,Corporate governance

نویسندگان: Alimoradi Abbas, Khademvatani Asgar, Gholami Fariba

ناشر: PETROLEUM BUSINESS REVIEW - PETROLEUM BUSINESS REVIEW

The main purpose of this work is to explain why and how the stock liquidity affects the risk of default of petrochemical and petroleum products companies listed on Tehran Stock Exchange (TSE). The study used experimental data and parametric tests to estimate the relationship between stock liquidity ... ادامه

سال:2020

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Corporate Governance Model of Banks

کلیدواژه: corporate governance in bank,ownership,management control,external control,internal control

نویسندگان: REZAEE MOHSEN, NAZEMI AMIN

ناشر: حسابداری مالی - FINANCIAL ACCOUNTING

Corporate governance is one of the most important factors in monetary institutes and the stronger the corporate governance, the better to inhibit from corruption. As a result representing appropriate corporate governance is investigated in this research. First of all, different criteria are extracte... ادامه

سال:2019

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Ethical Banking Education Optimization Model

کلیدواژه: Ethics,Education optimization,Ethical banking

نویسندگان: Golshanpour Ataghverdi mansour, REZVANI CHAMANZAMIN MOUSA, HAZRATI MORTEZA

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

Background: Ethical banking is a set of banking activities with full respect for human rights, commitment to healthy competition and responsibility and accountability for behaviors. The purpose of this research is to provide a Model for optimizing ethical banking training in Iran's Workers' Welfare ... ادامه

سال:2023

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