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Assessing the Stability of the Hybrid PSO-GA Algorithm in Magnetic Model Parameter Estimation Compared to Two Separate Approaches

کلیدواژه: Parameter estimation,Particle Swarm Optimization Algorithm,Genetic algorithm,White Gaussian noise,Airborne magnetics

نویسندگان: Sohouli Abdol Nabi, Molhem Hossein, Zare Dehnavi Naser

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In this study, the stability of the combined PSO-GA algorithm in estimating magnetic model Parameters is evaluated and compared with two other algorithms: Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The PSO algorithm is employed to enhance the action vector, while the GA algorithm ... ادامه

سال:2024

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Investigating Participatory Financing Methods in Islamic Banking Using the Structure-Conduct-Performance (SCP) Paradigm

کلیدواژه: Islamic Banking,Participation contracts,Musharakah,Structure-Conduct-Performance Paradigm (SCP)

نویسندگان: MOHAMMADI PARASTOO

ناشر: پژوهش ها و سیاست های اقتصادی - Journal of Economic Research and Policies

One of the concerns of some Islamic finance specialists is the Sariah compliance of banking services. This is a greater concern about participation contracts which are more complicated especially in terms of profit sharing. Several Islamic finance researchers have suggested solutions to it. The main... ادامه

سال:2019

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Introducing a Hybrid Model Based on Certainty Factor Statistical and Bagging Methods for Discovering Groundwater

کلیدواژه: Groundwater level potential,certainty factor (CF) method,bagging method,Geographic information system (GIS)

نویسندگان: RAZAVI TERMEH SEYED VAHID, RAHIMZADEGAN MAJID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Due to climate change and growth of urban communities, the need for groundwater and exploration of these resources are increasing. Therefore, the purpose of this study was to provide a groundwater potential mapping using the geographic information system (GIS) in a region located in Booshehr plain u... ادامه

سال:2020

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A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods

کلیدواژه: Multi-objective Programming,Resource Allocation,Pavement Maintenance and Rehabilitation,Markov Chain Process

نویسندگان: BABAEI M.

ناشر: پژوهشنامه حمل و نقل - JOURNAL OF TRANSPORTATION RESEARCH

One of the important issues in road pavement management is the allocation of resource in different parts of the network in order to maintain the pavement conditions at desired levels. In this paper, a tri-objective model is proposed for this purpose, the objective functions of which are: 1) to minim... ادامه

سال:2020

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Identify and Rank the Factors Affecting Accounting and Auditing Ethics based on Multi-Criteria Decision Making Methods

کلیدواژه: Accounting and auditing ethics,Hierarchical analysis,Best worst method,Grey method

نویسندگان: ABASI HAMID REZA, HEIDARPOOR FARZANEH, JAHANSHAD AZITA

ناشر: - Advances in Mathematical Finance and Applications

The accounting and auditing profession must acquire the necessary skills in ethical judgment so that it can consider the well-being of all those affected by its performance. Without strong and moral behavior, the position of this ancient art and profession is undermined. This issue should be given g... ادامه

سال:2023

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Design of a Hybrid Data-Driven Classification Model for Optimal Selection of Non-Destructive Testing Methods in Weld Inspection

کلیدواژه: Non-destructive inspection, Weld Inspection, Machine Learning, Xgboost, Data-Driven Modeling

نویسندگان: Nazari Gharibdoosti Amirmahdi, Sarai Tabrizi Mahdi

ناشر: فناوری آزمون های غیرمخرب - Non-Destructive Testing Technology

Selecting the most suitable Non-Destructive Testing (NDT) method in industries such as energy, transportation, automotive, aerospace, and oil and gas significantly contributes to quality improvement, minimizing human errors, and reducing operational costs. In this study, a smart, data-driven classif... ادامه

سال:2024

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Modeling Of Monthly Evaporation Using Single and Hybrid-Wavelet Data-Driven Methods in Basins of Iran with Climate Variety

کلیدواژه: Climate, Evaporation, Data mining, Wavelet

نویسندگان: Emadi Ali Reza, Zamanzad-Ghavidel Sarvin, Zareie Soheila, Rashid-Niaghi Ali

ناشر: مهندسی آبیاری و آب ایران - Journal of Irrigation and Water Engineering

Evaporation as one of the natural Parameters has always been considered by researchers. In this study, the monthly evaporation variable was modeled in two different climates of Iran using artificial neural network, adaptive fuzzy-neural inference system and gene expression programming Methods and co... ادامه

سال:2022

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Modeling Of Monthly Evaporation Using Single and Hybrid-Wavelet Data-Driven Methods in Basins of Iran with Climate Variety

کلیدواژه: Climate, Evaporation, Data mining, Wavelet

نویسندگان: Emadi Ali Reza, Zamanzad Ghavidel Sarvin, Fazeli Sina, Zareie Soheila, Rashid Niaghi Ali

ناشر: مهندسی آبیاری و آب ایران - Journal of Irrigation and Water Engineering

Evaporation as one of the natural Parameters has always been considered by researchers. In this study, the monthly evaporation variable was modeled in two different climates of Iran using artificial neural network, adaptive fuzzy-neural inference system and gene expression programming Methods and co... ادامه

سال:2022

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A Review of the Studies on Driver Drowsiness Detection Sensors and Proposing Hybrid Diagnostic Methods and Efficient Model Design

کلیدواژه: Drowsiness, Consciousness, Traffic Accident, Automobile Driving, Detection sensors

نویسندگان: , , , , ,

ناشر: بهداشت و ایمنی کار - Journal of Health and Safety at Work

Introduction: In recent years, driver’s drowsiness has been one of the leading causes of road accidents, which can lead to physical injuries, death, and significant economic losses. Statistics show that an efficient system is needed to detect the driver’s drowsiness, that gives the necessary warning... ادامه

سال:2023

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Evaluation of Hybrid Model ANN-PSO and Different Data Mining Methods in Estimating Monthly Evapotranspiration in Two Different Climates

کلیدواژه: Dry Regions,Evaporation and Transpiration,Machine Learning,Soft Computing

نویسندگان: Hosseini Vardanjani S.M.R., KHOSHRAVESH M., Hosseini Kakolaki S.E., Pourgholam Amiji M.

ناشر: آبیاری و زهکشی ایران - Iranian Journal of Irrigation and Drainage

Evapotranspiration is one of the main components of any region's water balance. Its accurate estimation is very necessary for hydrological studies, designing irrigation and drainage systems, and planning irrigation systems. In this research, the M5 tree model, M5 Rules, K Star, Rep Tree, artificial ... ادامه

سال:2023

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