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A Hybrid Model based on Ant Lion Optimization Algorithm and K-Nearest Neighbors Algorithm to Diagnose Liver Disease

کلیدواژه: Ant lion optimization (ALO) algorithm,Classification,Diagnosis of liver disease,K-nearest neighbors (KNN) algorithm

نویسندگان: JAVADZADEH SH., Shayanfar H., Soleimanian Qarachapaq F.

ناشر: مجله دانشگاه علوم پزشکی ایلام - Journal of Ilam University of Medical Sciences

Introduction: Given that a huge amount of cost is imposed on public and private hospitals from the department of liver diseases, it is necessary to provide a method to predict liver diseases. This study aimed to propose a hybrid model based on the Ant Lion Optimization algorithm and K-Nearest Neighb... ادامه

سال:2021

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Introduction of a Hybrid Multi-phase Segmentation Method Emphasizing Agricultural Land Boundary Extraction based on a Combination of Active Contour Models

کلیدواژه: :Active Contour,Extraction of Agricultural Land Boundaries,Edge,Region Information,Multiphase Model

نویسندگان: sh. Haghshenas, EBADI H., KIANI A.

ناشر: علوم و فنون نقشه برداری - JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY

Detecting agricultural land borders from high-resolution imagery is a major challenge due to the complex earth environment، which has become a significant issue in researches. Lack of location data to determine the area and location of agricultural land، to control and plan about cultivation and foo... ادامه

سال:2019

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Developing a New Class-based Probabilistic Hybrid Model for Monthly Precipitation Forecasting

کلیدواژه: Monthly Precipitation Forecasting,Hybrid Model,Kernel Function,Classification,Karkheh,CPHM

نویسندگان: MODARESI F.

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

High accuracy forecasting of monthly precipitation is one of the major challenges in hydrology and meteorology and is of great importance in water resources planning. In the current research a Class-Based Probabilistic Hybrid Model (CPHM) has been developed on the basis of a hybrid of classification... ادامه

سال:2021

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A Hybrid Intelligent Classification Model Based on Multilayer Perceptron Neural Networks and Fuzzy Regression for Credit Scoring Problems

کلیدواژه: Credit scoring,Classification methods,Multilayer perceptrons (MLPs),Artificial neural networks,Fuzzy logic

نویسندگان: KHASHEI M., TORBAT SH.

ناشر: روش های عددی در مهندسی (استقلال) - JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL)

Financial crises in banking systems are due to inability to manage credit risks. Credit scoring is one of the risk management techniques that analyze the borrower's risk. In this paper, using the advantages of computational intelligence as well as soft computing methods, a new hybrid approach is pro... ادامه

سال:2019

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Prediction of Groundwater Level Changes Using Hybrid Wavelet Self-Adaptive Extreme Learning Machine Model-Observation Well of Sarab Qanbar, Kermanshah

کلیدواژه: Groundwater level,Self-Adaptive Extreme Learning Machine (SAELM),Uncertainty analysis,Wavelet transform

نویسندگان: Yosefvand f., SHABANLOU S.

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

In this study, the groundwater level (GWL) of the Sarab Qanbar region located in the south of Kermanshah, Iran, was estimated using the Wavelet-Self-Adaptive Extreme Learning Machine (WA-SAELM) model. An artificial intelligence method called “ Self-Adaptive Extreme Learning Machine” an... ادامه

سال:2020

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Aplication of the Hybrid Model of Support Vector Machine-Algorithm Artificial Flora in Estimating the Daily Flow of Rivers (Case study: Dez basin)

کلیدواژه: Artificial Flora Alghorithm,Prediction,Dez Basin,Support Vector Machine

نویسندگان: DEHGHANI R., TORABI POUDEH H., YOUNESI H., SHAHINEJAD B.

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

In this study, the hybrid support vector machine-artificial flora algorithm method was developed and the results were compared with those of the support vector machine-wavelet model. The case study of Dez catchment area was used in order to estimate the flow rate of the rivers employing the daily di... ادامه

سال:2020

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Hybrid Z-Source DC-DC Converter with ZVZCS and Power Transformer Resetting: Design, Modeling, and Fabrication

کلیدواژه: Zero Voltage Switching (ZVS),Zero Current Switching (ZCS),Z-Source Converters,Forward DC-DC Converter

نویسندگان: Torkaman H., HEMMATI T.

ناشر: IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING - IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING

This paper introduces a novel two transistors forward topology employing a zsource to achieve ZVZCS and power transformer resetting for various applications. Comparing with the forward converter, this topology has the advantage of displaying ZCS condition with an added Z-Source and no additional swi... ادامه

سال:2018

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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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Tabriz Daily Rainfalls Modeling via Hybridized Tree Based and Seasonal-Trend Component Bagging Method

کلیدواژه: Bagging Method,Decomposition,Modified Wilmot,Tree Models,Urmia Lake Basin

نویسندگان: JAVIDAN S., SATTARI M.T., Mohsenzadeh Sh.

ناشر: آب و خاک - Journal of Water and Soil

Introduction Precipitation is one of the most important components of water cycle. Accurate precipitation measurement is essential for flood forecasting and control, drought analysis, runoff modeling, sediment control and management, watershed management, agricultural irrigation planning, and water ... ادامه

سال:2022

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Investigate the Effect of Islamic Work Ethic on Job Motivation with the Mediating Role of Organizational Justice (Case study: Valiasr Hospital in Arak)

کلیدواژه: Islamic work ethic,Job motivation,Organizational justice

نویسندگان: Jahanshahi f., GHASEMI M., AHMADI M.

ناشر: مدیریت پرستاری - Quarterly Journal of Nursing Management

Introduction: In this study, the researcher tries to investigate the effect of Islamic work ethic on job motivation with the mediating role of organizational justice in Valiasr Hospital in Arak. Methods: The present study is applied in terms of purpose and causal in terms of method. The statistical ... ادامه

سال:2022

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