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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

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

6 بازدید

مشاهده/دانلود

Hybrid Medical Data Mining Model for Identifying Tumor Severity in Breast Cancer Diagnosis

کلیدواژه: Breast Cancer Prediction,Mammography,Ultrasonography,Medical Data Mining,Invasive Ductal Carcinoma

نویسندگان: Araghi Niknam Faeze, Ghousi Rouzbeh, Masoumi AmirHossein, ATASHI ALIREZA, MAKUI AHMAD

ناشر: مهندسی صنایع - Advances in Industrial Engineering

Purpose: This study proposes a methodology for detecting tumor severity using data mining of databases relating to Breast imaging modalities. In doing so, it proposes creating a software application that can serve as an efficient decision-making support system for medical practitioners, especially t... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

12 بازدید

مشاهده/دانلود

Hybrid Fuzzy Models and Experimental-based Collective Intelligence algorithms for Detection of Breast Tumors through Mammography Image Analysis

کلیدواژه: Fuzzy Inference System,Breast Tumors,Benign,Malignant,Soft Computing,Evolutionary Hybrid Algorithms

نویسندگان: Khodadadi Elnaz, HOSSEINI RAHIL, MAZINANI MAHDI

ناشر: هوش محاسباتی در مهندسی برق (سیستم های هوشمند در مهندسی برق) - COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)

In this study, a hybrid fuzzy intelligent method for diagnosing and managing uncertainty in input features to identify Breast tumors in mammography images has been proposed. Moreover, a hybrid fuzzy evolutionary model has been applied to increase the system efficiency and optimize results. Soft comp... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Developing a Hybrid Model to Estimate Expected Return Based on Genetic algorithm

کلیدواژه: The results show that applying the hybrid model increases the predictive power of realized return compared to other research models

نویسندگان: Asima Mehdi, Abbaszadeh Asl Amir Ali

ناشر: تحقیقات مالی - Financial Research Journal

Objective: Capital asset pricing model (CAPM) has been among the most common models to estimate the expected return. In the standard CAPM model, a) the beta coefficient is fixed and b) the relationship between stock returns and market returns is assumed to be linear. While in financial markets, it i... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

17 بازدید

مشاهده/دانلود

Evaluation of Random Forest-Genetic algorithm Hybrid Model in Estimating Daily Solar Radiation

کلیدواژه: Ardabil,Intelligent Models,Optimization,Solar Energy

نویسندگان: Hashemi Sajjad, Samadianfard Saeed, Sadraddini Ali Ashraf

ناشر: محیط زیست و مهندسی آب - Environment and Water Engineering

Solar energy is the most important source of renewable energy, in other words, the main source of energy on Earth. Therefore, estimating the solar radiation parameter with high accuracy is very important. In this regard, in the present study, meteorological data of 3 meteorological stations of Ardab... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

13 بازدید

مشاهده/دانلود

Energy Management Model for a Standalone Hybrid Microgrid Using a Dynamic Decision-Making algorithm

کلیدواژه: Renewable Energy, Sustainability, Energy storage, Microgrid, Strategies

نویسندگان: Esmaeili Shayan Mostafa, Najafi Gholamhassan, Esmaeili Shayan Sahra

ناشر: مهندسی مکانیک امیرکبیر (امیرکبیر) - JOURNAL OF MECHANICAL ENGINEERING AMIRKABIR (AMIRKABIR)

Renewable energy is vital for the future of the energy supply because of its properties, which include sustainability, affordability, and environmental friendliness. The low dependability of these sources is a disadvantage due to their nondeterministic and unpredictable production patterns. Utilizin... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

12 بازدید

مشاهده/دانلود

Efficiency of Regression, ANN and ANN-algorithm Genetic Hybrid Models in the Evaluation of Wind Erosion

کلیدواژه: Dust,Cla,Organic Matter,MLP,Perceptron

نویسندگان: Ebrahimi Shahin, MOHAMMADI TORKASHVAND ALI, ESFANDIARI MEHRDAD, AHMADI ABBAS

ناشر: حفاظت منابع آب و خاک - JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION

Background and Aim: Wind erosion has occurred in a large part of Iran, which has caused land degradation and reduced fertility along with environmental effects. Identifying erosion-sensitive areas can help natural resource and environmental managers in soil conservation planning. Methods: This study... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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A Hybrid Mathematical Programming Model for Densities of Alkanol + Alkanediol Mixtures Using Bacterial Foraging Optimization algorithm

کلیدواژه: Density,Spencer–Danner equation,Alkanol,Alkanediol,Improved bacterial foraging optimization

نویسندگان: Noorzad Fazel, Pirdashti Mohsen, Dragoi Elena Niculina, Babaei Nobijari Yousef

ناشر: - Iranian Journal of Chemistry and Chemical Engineering - Iranian Journal of Chemistry and Chemical Engineering

In this work, the densities of pure and binary mixtures of 1-pentanol or 1-decanol with 1, 2-ethanediol or 1, 2-propanediol or 1, 3-butanediol or 2, 3-butanediol were measured at atmospheric pressure and temperatures between 288. 15K and 313. 15K. For the considered system, two types of models were ... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

7 بازدید

مشاهده/دانلود

Performance of Dragonfly algorithm Hybrid Model - Artificial Neural Network for Modeling Settlement of Earth Dam during Construction

کلیدواژه: Construction time, Dam cross section, Dragonfly Algorithm, feature selection, Settlement

نویسندگان: Hakimi Khansar Hosein, Hosseinzadeh Dalir Ali, Parsa Javad, Shiri Jalal

ناشر: دانش آب و خاک - Water and Soil Science

Background and ObjectivesPore water pressure, stress and settlement are the most important geotechnical parameters that must be constantly monitored during the construction of earth dams. Since measuring dam settlement directly at the time of dam construction requires cost and time, the development ... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

12 بازدید

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