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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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Designing a Hybrid Model of Factors Affecting Accounting Development in Iran

کلیدواژه: Accounting Development,Analysis,Cross-Compounding

نویسندگان: Goleyjani Mehrdad, ALIKHANI RAZIEH, MARANJORY MEHDI, Fallah Reza

ناشر: پژوهش های حسابداری مالی و حسابرسی - The Financial Accounting and Auditing Researches

The purpose of this research is to identify the factors influencing the development of accounting by the combination of meta-analysis techniques. In the present study, by applying a systematic and qualitative cross-over approach, we analyze the results and findings of previous researchers and by con... ادامه

سال:2021

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Consequences of the identity attitude towards the West in the foreign policy of the Islamic Republic of Iran and the Republic of Turkey (the period of Justice and Development Party)

کلیدواژه: identity, Foreign Policy, West, Islamic Republic of Iran, Republic of Turkey

نویسندگان: Vahidi Mahdi, Barzegar Keihan, Kiani Davood

ناشر: جغرافیا (برنامه ریزی منطقه ای) - Geography (Regional Planning)

The foreign policy of the Islamic Republic of Iran and the Republic of Turkey (the Justice and Development Party period) has been influenced by the identity attitude towards the West in recent decades. identity; As a tool for making the foreign policy of both countries, it has had a significant impa... ادامه

سال:2023

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Introduction of a Hybrid Multi-phase Segmentation Method Emphasizing Agricultural Land Boundary Extraction based on a Combination of Active Contour Models

کلیدواژه: :Active Contour,Extraction of Agricultural Land Boundaries,Edge,Region Information,Multiphase Model

نویسندگان: sh. Haghshenas, EBADI H., KIANI A.

ناشر: علوم و فنون نقشه برداری - JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY

Detecting agricultural land borders from high-resolution imagery is a major challenge due to the complex earth environment، which has become a significant issue in researches. Lack of location data to determine the area and location of agricultural land، to control and plan about cultivation and foo... ادامه

سال:2019

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Investigating the Effect of Corporate Governance Mechanisms and Political Connections on Accounting Conservatism in Tehran Stock Exchange

کلیدواژه: Accounting Conservatism,Corporate Governance,Political Connections

نویسندگان: POURHEIDARI OMID, Kiani Chandeh Ali, BARATI FARID

ناشر: پژوهش های مالی و رفتاری در حسابداری - JOURNAL OF FINANCIAL AND BEHAVIORAL RESEARCHES IN ACCOUNTING

The necessity of success and sound performance of companies is the existence of a strong corporate governance structure to better monitor management and use conservatism to improve financial performance. Present study investigates the effect of corporate governance and political connections on accou... ادامه

سال:2021

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Investigating the Impact of Corporate Governance Mechanisms on the Relationship between Research and Development Expenditurs and Firm Growth

کلیدواژه: Corporate Governance,Research and Development Cost,Firm Growth

نویسندگان: POURHEIDARI OMID, Kiani Chandeh Ali, Bagheri masoodzadeh Mozhgan

ناشر: پژوهش های حسابداری مالی - Financial Accounting Research

In this study, the impact of corporate governance on the relationship between research and development expenditure and firm growth in Tehran stock exchange are investiagted. After reviewing the relevant literatures and setting the research hypotheses number of 110 companies over the years 2012-2017 ... ادامه

سال:2020

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