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Smart Contracts' Arbitration: Legal Challenges of On-Chain and Off-Chain Dispute Resolution

کلیدواژه: arbitration, BlockChain, Smart contract, On-Chain, Off-Chain

نویسندگان: Haddadi Shahrzad

ناشر: پژوهش های حقوق اقتصادی و تجاری - Economic and Commercial Law Research

Today, using blockChain technology is increasing, so that various economic and commercial activities are carried out through smart contracts. Although self-performance and independence from third parties involvement are the principal features of these contracts, but contractual dispute is inevitable... ادامه

سال:2024

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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

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Land Cover Change Modeling Using a Hybrid Approach and Remote Sensing Data

کلیدواژه: Scenario development,Artificial neural network,Multi-objective land optimization,Markov chain,Accuracy assessment

نویسندگان: Joorabian Shooshtari Sharif

ناشر: جغرافیا و پایداری محیط - Geography and Environmental Sustainability

Wetlands are vital for human survival and constitute 40. 6% of the total value of global ecosystem services. This study analyzed land cover changes in the Golpayegan Shoor wetland from 1988 to 2018 and then modeled it with a combination of artificial neural network, Markov Chain, and multi-objective... ادامه

سال:2023

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Global Zakat Cooperation Chain to SDGs: How Shall Mechanisms and Master Plan Be?

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نویسندگان: Mubarik, Fauzia

ناشر: Mohd Ma'Sum Billah (Ed.) 2021 – Islamic Wealth and the SDGs

... ادامه

سال:2021

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Analyzing the Capability-attractiveness Matrix for Emerging Technologies in Iran’s Humanitarian Supply Chain

کلیدواژه: Humanitarian supply chain,Emerging technologies,Best-worst method,Capability-attractiveness matrix

نویسندگان: Sadeghi Moghadam Mohammad Reza, Noferesti Reihane, Farahani Amin

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: The influence of climate change on the frequency and severity of natural disasters is ever-increasing on a global scale. While natural disasters are unpredictable, emerging technologies can help with their prevention. Technologies allow responders to act sooner rather than later. The impo... ادامه

سال:2022

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Bankruptcy Prediction and Corporate Governance: Financial Ratio Approach

کلیدواژه: Bankruptcy Prediction,Financial Ratios,Corporate Governance

نویسندگان: Haji Hashem Masoud, AMIR HOSSEINI ZAHRA

ناشر: دانش حسابداری و حسابرسی مدیریت - JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING

Bankruptcy Prediction in studies and articles in the areas of Accounting and Management are discussed and many studies on the experimental method is more effective for bankruptcy Prediction was carried out. The aim of this study is to compare the financial and indicators of corporate governance for ... ادامه

سال:2019

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COVID-19 Prediction Classifier Model Using Hybrid Algorithms in Data Mining

کلیدواژه: Accuracy,Covid-19,Classifier model,Data mining,Hybrid data mining

نویسندگان: Nikooghadam Morteza, Ghazikhani Adel, SAEEDI MOHAMMAD

ناشر: - Journal of Pediatric Perspectives - Journal of Pediatric Perspectives

Increase of stored data in medical databases needs allocative tools to get access to data, data mining, discover knowledge and efficient use of data. Medical and treatment fields are two examples of data mining tools to analyze massive data and predictive modelling. In medical sciences, Prediction a... ادامه

سال:2021

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A Hybrid Heuristic Algorithm to Provide a Multi-Objective Fuzzy Supply Chain Model with a Passive Defense Approach

کلیدواژه: Supply chain,Sustainability,Passive defense,Multi-objective fuzzy optimization,Meta-heuristic algorithm

نویسندگان: Ayoughi Hamidreza, Dehghani Poudeh Hossein, Raad Abbas, Talebi Davood

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

In this paper, a stable multi-objective model of location, inventory, and supply Chain routing is presented under conditions of uncertainty and using a passive defense approach. Parameters such as demand, cost of setting up the facility and cost of maintaining inventory are considered uncertain and ... ادامه

سال:2022

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A Hybrid Approach to Develop a Structural Model of Factors Affecting Supply Chain Collaboration in Home Appliance Industry

کلیدواژه: Supply Chain Collaboration,Home Appliance Industry,Systematic Literature Review,Interpretive Structural Modeling,Fuzzy Cognitive Maps

نویسندگان: SHAHRYARI NIA ARASH, OLFAT LAYA, AMIRI MAGHSOUD, KAZAZI ABOLFAZL

ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective

Supply Chain collaboration as a collective approach to compete against rivals, aims to improve performance of supply Chain. In order to develop collaboration across supply Chain it is vital to identify factors affecting collaboration and their interactions. to do so, we have proposed a hybrid method... ادامه

سال:2020

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Drought Prediction Using GEP-GARCH Hybrid Model (Case Study: Salmas Synoptic Station)

کلیدواژه: Drought,Nonlinear Time Series,Intelligent Model,SPEI

نویسندگان: ABBASI ABBAS, KHALILI KEIVAN, BEHMANESH JAVAD, SHIRZAD AKBAR

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

Drought Prediction plays an important role in designing drought adaptation systems and implementation of relief operations. Hydrological data is a combination of a definite and random section. Given the fact that the production data of intelligent models are definite, application of a new approach, ... ادامه

سال:2019

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