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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
مشاهده/دانلود
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
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
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
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
کلیدواژه:
نویسندگان: Mubarik, Fauzia
ناشر: Mohd Ma'Sum Billah (Ed.) 2021 – Islamic Wealth and the SDGs
... ادامه
سال:2021
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
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
کلیدواژه: financial markets,forecasting,stocks golden points,Data mining
نویسندگان: Moshari Mohammad, Didehkhani Hosein, Khalili Dameghani Kaveh, ABBASI EBRAHIM
ناشر: دانش سرمایه گذاری - INVESTMENT KNOWLEDGE
The purpose of this research is to provide an intelligent model for Prediction of golden points on stock price chart as a decision support system. For conduction of this research, the data of the automotive and parts manufacturing industry during 2001 through to 2016 were used. First, the obtained r... ادامه
کلیدواژه: Risk of Financial Bankruptcy,Accounting Variables,Market-Driven Variables,Hybrid Model,Neural Network
نویسندگان: Ramooz Najmeh, MAHMOUDI MARYAM
ناشر: راهبرد مدیریت مالی - JOURNAL OF FINANCIAL MANAGEMENT STRATEGY
Predicting the risk of financial bankruptcy is one of the most important issues in the field of companies’ financial decision. Accordingly, a variety of models that each is different in terms of predictor variables and techniques has been introduced so far. The use of the combination of accou... ادامه
سال:2017
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