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The Impacts of Smart Contracts on Accounting and Auditing

کلیدواژه: Smart Contracts,Block Chain,Robotic Automation Process,Artificial Intelligence,Internet of Things

نویسندگان: Jamalianpour Mozaffar, Alipour Fallah Pasand Ali

ناشر: مطالعات حسابداری و حسابرسی - JOURNAL OF ACCOUNTING AND AUDITING STUDIES

Since the dawn of time, mankind has been in search of different ways of exchanging goods and services. Such exchanges have been built upon contracts or agreements between two or more parties whose will has given way to the creation of a legal phenomenon. Since the last few decades, man’ s eve... ادامه

سال:2020

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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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Probability of Non-performance of Obligations in Smart Contracts on Blockchain and their Potential Sanctions

کلیدواژه: Smart contract,violation of commitment,execution guarantee,self-execution

نویسندگان: Mokhtari rahim, Zare Hadi

ناشر: پژوهش های بنیادین در حقوق - Fundamental Researches in Law

Smart contracts on the blockchain represent a novel form of electronic contracts. These contracts are distinguished from both traditional and digital (other electronic) contracts by their self-execution, which occurs without human intervention due to their AI-based nature. This paper aims to address... ادامه

سال:2024

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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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Investigating a Smart Hybrid Model and Metaverse Based on Artificial Intelligence-Augmented Reality to Improve Water Governance Components in Iran

کلیدواژه: Metaheuristic algorithms, Metaverse, Smart Decision-Making, Stakeholder Participation, Virtual reality, Water governance

نویسندگان: Mohammadi Haniyeh, Ansari Ghojghar Mohammad

ناشر: حکمرانی منابع طبیعی - Natural Resources Governance

Given the existing challenges in water governance, such as a lack of transparency, insufficient public participation, weak accountability, and low effectiveness, there is an increasing need to leverage innovative technological tools. Artificial Intelligence (AI) has the potential to enhance decision... ادامه

سال:2024

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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

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