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Development of Hybrid Wavelet-Artificial Neural Network and Support Vector Machine Approach for Multi-Station Rainfall-Runoff Modeling Using Clustering and Mutual Information Tools

کلیدواژه: Mutual information,Wavelet transform,Little River watershed,Self-organizing map,Artificial intelligence

نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Monirifar Hosein, Sharghi Elnaz

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

Conversion of rainfall to Runoff according to the laws of gravity vivifies earth, replenishes groundwater, keeps rivers and lakes full of water, and varies the landscape by the action of erosion. Large uncertainties and high non-linearity of the Rainfall-Runoff (R-R) process make it complex task to ... ادامه

سال:2019

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Forecasting Stock Price using Hybrid Model based on Wavelet Transform in Tehran and New York Stock Market

کلیدواژه: ARIMA-GARCH,Forecasting,Neural Network,Wavelet Transform

نویسندگان: Vafaei Ghaeini Vahid, KIMIAGARI ALIMOHAMMAD, Jafarzadeh Atrabi Mostafa

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

Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hyb... ادامه

سال:2018

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An Intelligent Hybrid Segmentation Model Based on Fuzzy Logic, Discrete Wavelet Transform In Digital Imaging for Detection of Gastric Cancer

کلیدواژه: Fuzzy logic,Discrete Wavelet Transformation,Voting Mechanism,Stomach Cancer,SVM Algorithm

نویسندگان: Teimouri Paniz, MAZINANI MAHDI, HOSSEINI RAHIL

ناشر: مدل سازی در مهندسی - Modeling in Engineering

Gastric cancer is the first rank of cancer in Iran. If the disease is detected in early stages, treatment is probability to be furthered and treatment costs will be reduced. Due to the complexity of pathologic images and the fundamental challenges in these images, such as the poor contrast between t... ادامه

سال:2021

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Hybrid Wavelet-M5 Model Application in Rainfall-Runoff Process Forecast (Case study: Aji Chay Catchment)

کلیدواژه: Artificial Network,Decision Tree,Rainfall-Runoff Modeling,Wavelet Transform

نویسندگان: Davanlou Tajbakhsh A., NOURANI V., Molajou A.

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

Rainfall-Runoff process is one of the most important and complex phenomena in the hydrological cycle and therefore different views have been presented for modeling the phenomenon. Obviously, the recognition of the behavior of the catchment can play an important role in selecting the appropriate mode... ادامه

سال:2019

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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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Evaluating Hybrid Models and Google Earth Engine for Predicting Climate Change Impacts on Runoff in the Kasilian Catchment, Northern Iran

کلیدواژه: remote sensing, hybrid models, Google Earth Engine (GEE), Erosion, sediment yield

نویسندگان: Hajian Farhad, Yousefi Elham, Monshizadeh Naeen Hossein

ناشر: پژوهش های خشکسالی و تغییر اقلیم - Journal of Drought and Climate Change Research

This study investigates the impact of climate change on annual rainfall and Runoff of Kasilian catchment through two distinct approaches. Firstly, it utilizes hybrid models by integrating the Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) with Artificial Neural Networks (ANN), ... 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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