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Predicting Corporate Financial Distress Using a Hybrid Model of Artificial Immune System and Wavelet Neural Network (Artificial Intelligence)

کلیدواژه: Financial Distress,Financial Prediction,Wavelet Neural Network,Artificial Immune System,Logistic Regression,Hybrid Algorithm

نویسندگان: Mehrabi Reza, Hematfar Mahmoud, Sefati Farid

ناشر: تکنولوژی در کارآفرینی و مدیریت استراتژیک - Journal of Technology in Entrepreneurship and Strategic Management

In today's financial landscape, the prediction of corporate financial distress plays a crucial role in risk management and economic stability. This study aims to develop a hybrid predictive model that combines the Artificial Immune System (AIS) with the Wavelet Neural Network (WNN) to forecast finan... ادامه

سال:2024

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Watershed Change Detection Using Hybrid Conceptual Model-Artificial Intelligence

کلیدواژه: Watershed Land Use Change,Conceptual Rainfall-Runoff Model,Storage Coefficients,Artificial Intelligence,Wavelet-Entropy

نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Sharghi Elnaz

ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING

This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and severity via an inverse method for the Little River Watershed, USA. In this research, the Artificial intelligence and soft computing capabilities such as wavelet-entropy were employed for t... ادامه

سال:2019

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Control or Innovation; Legal Requirements of Regulatory Policies in Artificial Intelligence

کلیدواژه: Artificial Intelligence (AI),legislation,Regulation,Regulatory Policy,Risk and Control,opportunity and Innovation

نویسندگان: Hashemi Seyed Hossein

ناشر: دولت و حقوق - Government and Law

In response to the rapid development of Artificial intelligence (AI), various legal systems have created different regulatory and supervisory interventions for this technology. While some countries prioritize consumer protection by imposing stringent regulations, others adopt a more permissive appro... ادامه

سال:2024

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Hybrid Artificial Intelligence Model Development for Roller-compacted Concrete Compressive Strength Estimation

کلیدواژه: Artificial Neural Network,Artificial Bee Colony Algorithm,Roller-Compacted Concrete,Compressive strength

نویسندگان: Ranjbar A., Barahmand N., Ghanbari A.

ناشر: - International Journal of Engineering

This study implemented the Artificial bee colony (ABC) metaheuristic algorithm to optimize the Artificial Neural Network (ANN) values for improving the accuracy of model and evaluate the developed model. Compressive strength of RCC was investigated using mix design materials in three forms, namely v... ادامه

سال:2020

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Artificial Intelligence Approach Analyzing Management Ability Based on Accounting and Corporate Governance Criteria

کلیدواژه: Management Ability,Accounting Variables and Corporate Governance,Artificial Intelligence Algorithm

نویسندگان: Shahsahebi Seyed Mostafa, DARABI ROYA, HAMIDIAN MOHSEN

ناشر: INTERNATIONAL JOURNAL OF FINANCE AND MANAGERIAL ACCOUNTING - INTERNATIONAL JOURNAL OF FINANCE AND MANAGERIAL ACCOUNTING

The aim of this research is the analysis of management ability using accounting and corporate governance criteria and also Artificial intelligence. The primary independent variables in this study include regulatory variables (characteristics of corporate governance and audit committee) and accountin... ادامه

سال:2020

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Spatial-Temporal Disaggregation of Rainfall Time Series Using Wavelet-Artificial Neural Network Hybrid Model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه

سال:2019

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Artificial Intelligence and Ethical Decision-Making in Accounting and Auditing: Analysis of Related Challenges

کلیدواژه: Keywords: challenges, Future of accounting,

نویسندگان: Azarsaeed Yashar, Rostami Shoeyb

ناشر: قضاوت و تصمیم گیری در حسابداری - Judgment and Decision Making in Accounting and Auditing

AbstractThis article examines the ethical challenges of using accounting systems based on Artificial intelligence for decision-making and presents the correct decision-making in the framework of the four-component model of Rest. The following article contributes to the literature related to accounti... ادامه

سال:2023

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Accurate Detection of Breast Cancer Metastasis Using a Hybrid Model of Artificial Intelligence Algorithm

کلیدواژه: Breast cancer,Metastasis,Machine learning,Specificity selection,Classification algorithms,Hybrid algorithm

نویسندگان: Abdollahi Jafar, Keshandehghan Atlas, Gardaneh Mahsa, PANAHI YASIN, GARDANEH MOSSA

ناشر: - Archives of Breast Cancer - Archives of Breast Cancer

Background: Breast cancer (BC) is a prevalent disease and a major cause of mortality among women worldwide. A substantial number of BC patients experience metastasis which in turn leads to treatment failure and death. The survival rate has been significantly increased due to more rapid detection and... ادامه

سال:2020

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Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord

نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, Artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to... ادامه

سال:2019

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Application of Artificial Neural Network Hybrid Models with Metaheuristic Algorithms (PSO, ICA) in Earnings Management Forecast

کلیدواژه: Particle Swarm Optimization,Imperialist Competitive Algorithm,Artificial neural network,Earnings Management

نویسندگان: GHADERI EGHBAL, AMINI PEYMAN,

ناشر: پژوهش های تجربی حسابداری - Journal of Empirical Research in Accounting

Metaheuristic approaches are inspired mainly based on the order and rules of natural organisms. Today, these approaches have been widely used in various branches. According to the importance of forecasting, understanding the methods of earnings management forecast can provide useful information for ... ادامه

سال:2020

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