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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

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ALightweight Anomaly Detection Model usingSVMfor WSNs in IoT through a Hybrid feature selection Algorithm based on GAand GWO

کلیدواژه: Wrapper Feature Selection,Metaheuristic Algorithms,Grey Wolf Optimizer (GWO),Genetic Algorithm (GA),Wireless Networks,Internet of Things (IoT),Anomaly Detection,Support Vector Machine (SVM)

نویسندگان: Davahli azam, Shamsi Mahboubeh, Abaei Golnoush

ناشر: JOURNAL OF COMPUTING AND SECURITY - JOURNAL OF COMPUTING AND SECURITY

As a result of an incredibly fast growth of the number and diversity of smart devices connectable to the internet, commonly through open wireless sensor networks (WSNs) in internet of things (IoT), the access of attackers to the network tra c in the form of intercepting, eavesdropping and rebro... ادامه

سال:2020

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Hybrid Model Binary ant Colony Algorithm and Support Vector Machine (BACO-SVM) for feature selection and Classification of Bank Customers with Case Study

کلیدواژه: credit risk,credit rating,support vector machine,feature selection,Binary ACO,VIKOR

نویسندگان: HUSSEINZADEH KASHAN ALI, GAROUSI FATEMEH

ناشر: راهبرد مدیریت مالی - JOURNAL OF FINANCIAL MANAGEMENT STRATEGY

One of the most important issues faced by banks and financial institutions is the issue of credit risk. The significant amount of deferred bank claims around the world indicates the importance of this issue and the need to pay attention to it. So far, many efforts have been made to provide an effect... ادامه

سال:2020

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Providing the Optimal Model for Stock selection Based on Momentum, Reverse and Hybrid Trading Strategies Using GWO Algorithm

کلیدواژه: Stock return,Momentum,Reversal,Contratum,Momentarian,Gray wolf,Dynamic panel

نویسندگان: Teymouri Ashtiani Ali, Hamidian Mohsen, Jafari Seyedeh Mahboubeh

ناشر: تحقیقات مالی - Financial Research Journal

Objective: Contratum strategies are hybrid strategies in which, like the reverse strategy, the portfolio ranking is based on a long-term time horizon. However, the time horizon of their maintenance is like medium-term momentum strategies. Momentarian or momentary strategies are among the combined st... ادامه

سال:2022

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Hybrid time Delay Petri Nets as a Mathematical Novel Tool to Model Dynamic System with Current Sample time

کلیدواژه: Hybrid Petri Nets,Current sample time signals,Capsubot robot,Genetic algorithm

نویسندگان: Ahangarani Farahani A., DIDEBAN A.

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

The existing modeling methods using Petri Nets, have been successfully applied to model and analyze dynamic systems. However, these methods are not capable of modeling all dynamic systems such as systems with the current sample time signals, systems including various subsystems and multi-mode system... ادامه

سال:2018

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The Concept, Structure and Epistemological Development: Musharakah Tijariah cross-Border Financing

کلیدواژه: Blockchain ؛ Crross-Border Financing ؛ Islamic finance ؛ Joint Venture ؛ Musharakah ؛ Project and Contract Financing ؛ Qard ؛ Wakalah

نویسندگان: Salehuddin, Sharullizuannizam ؛ Iskandar Mirza, Azrul Azlan ؛ Nawi, Ahmad Saufe

ناشر: European Journal of Islamic Finance

Musharakah Tijariah cross-Border Financing (“Product”) is the product to enable the Bank to undertake projects and contract cross-border financing activities or other identified business ventures on “pure” Joint Venture basis, using the underlying Islamic financing contract, structure and epistemolo... ادامه

سال:2020

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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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Developing a Hybrid Multi-Criteria Model for selection of Outsourcing Providers

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نویسندگان:

ناشر: Expert Systems with Applications - Expert Systems with Applications

... ادامه

سال:2018

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