logo
logo
ArEn

نتایج جست و جو:

26

تعداد نتایج:

26

مرتبط ترین ها

به روز ترین ها

پر بازدیدترین ها

پر دانلودترین ها

فیلتر ها

از سال

تا سال

زبان

نوع محتوا

نوع دسته بندی

متن کامل

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

مشاهده/دانلود

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

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

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

مشاهده/دانلود

COVID-19 Prediction Classifier Model Using Hybrid Algorithms in Data Mining

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

سال:2021

لینک به محتوا با زبان هدف

مشاهده/دانلود

Land Cover Change Modeling Using a Hybrid Approach and Remote Sensing Data

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

لینک به محتوا با زبان هدف

مشاهده/دانلود

Relationship between Real Earning Management, Corporate Governance and Stock Crash Risk (Dynamic Panel Data)

کلیدواژه: Stock Fall Risk,Real Earnings Management,Institutional Ownership,Dynamic Panel Data

نویسندگان: Eslami Mohsen, Erzae Amir Hossein

ناشر: سیاست های مالی و اقتصادی - Journal of Fiscal and Economic Policies

The risk of stock price crash is one of the topics of interest in capital market research. Since the main mission of capital market regulators is to protect the rights of investors, it has always been important to consider the factors that affect crash risk. The quality of financial reporting and ea... ادامه

سال:2023

لینک به محتوا با زبان هدف

مشاهده/دانلود

A Hybrid Approach based on PSO and Boosting Technique for Data Modeling in Sensor Networks

کلیدواژه: Wireless sensor network,Distributed optimization,Particle swarm optimization,Regression,Boosting

نویسندگان: Shakibian Hadi, Nasiri Jalaledin

ناشر: - Journal of Information Systems and Telecommunication - Journal of Information Systems and Telecommunication

An efficient Data aggregation approach in wireless sensor networks (WSNs) is to abstract the network Data into a model. In this regard, regression modeling has been addressed in many studies recently. If the limited characteristics of the sensor nodes are omitted from consideration, a common regress... ادامه

سال:2022

لینک به محتوا با زبان هدف

مشاهده/دانلود

The Analysis of Effects of Good Corporate Governance on Earnings Management in Indonesia with Panel Data Approach

کلیدواژه: Audit Committee,Composition of Commissioners,Good Corporate Governance,Earnings Management

نویسندگان: Muda Iskandar, Maulana Weldi, Sakti Siregar Hasan, Indra Naleni

ناشر: IRANIAN ECONOMIC REVIEW - IRANIAN ECONOMIC REVIEW

the research was aimed to analyze effects of Good Corporate Governance, comprising of Composition of Commissioners & Audit Committee on earnings management an Empirical Study on Indonesia Stock Exchange with Panel Data Approach. The Data collection method used was documentation. The samples in this ... ادامه

سال:2018

لینک به محتوا با زبان هدف

مشاهده/دانلود

Designing a Model for Implementing Digital Banking Policy Based on Using Big Data in Iranian Banking Industry

کلیدواژه: policy implementation, Digital banking, Big data

نویسندگان: Gholipour Souteh Rahmatollah, Esmaeili Rad Hamed

ناشر: مدیریت دولتی - Journal of Public Administration

Objective In the current digital era, the immense challenges posed by technological advancements have driven significant developments, including the emergence of digital banking policies. For banks to survive and maintain their competitive edge among both new entrants and established competitors, i... ادامه

سال:2024

لینک به محتوا با زبان هدف

مشاهده/دانلود

فیلتر ها

از سال

تا سال

زبان

نوع محتوا

دسته بندی

متن کامل