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Open Banking Innovation Model by Digital Transformations Based on Adaptive Neuro fuzzy inference System (ANFIS)

کلیدواژه: Digital Transformation,Open Banking,Banking Innovation,Business Strategy,Business Model

نویسندگان: Mirfallah Lialestani Mohammadali, KHAMSEH ABBAS

ناشر: JOURNAL OF SYSTEM MANAGEMENT - JOURNAL OF SYSTEM MANAGEMENT

Given the emergence of digital transformation from Industry 4 and the rapid dissemination of technological innovations as well as their impact as a strong driving force in new banking businesses, efforts should be made to identify the dimensions of this core factor as rapidly as possible. Providing ... ادامه

سال:2021

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Long-Term Rainfall Estimation in Anzali City Using the Hybrid Wavelet-Adaptive Neuro-fuzzy inference System Model

کلیدواژه: Rainfall,ANFIS,Wavelet,Sensitivity analysis,Simulation,Anzali city

نویسندگان: PASANDIDEH IRAJ, IZADBAKHSH MOHAMMAD ALI, SHABANLOU SAEID

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

Recently, the amount of rainfall underwent serious changes in different areas, particularly in arid and semi-arid regions. Therefore, estimation and pattern recognition of rainfall in a long term period can give sufficient information to hydrologists and Water engineers. In this study, for the first... ادامه

سال:2019

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Investigation of Dissolved Oxygen Levels in the Karun River Water Using Hybrid models Based on Support Vector Regression

کلیدواژه: Dissolved Oxygen, Support vector regression, Karun, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Oxygen plays a vital role in maintaining the balance of life cycles in all ecosystems. Aquatic life is highly sensitive to dissolved oxygen (DO) levels. This necessitates not only continuous monitoring of DO in aquatic environments but also the development of accurate predictive models for future DO... ادامه

سال:2024

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Evaluation of the Accuracy of Wavelet-Neuro-fuzzy, Neuro-fuzzy, and Wavelet Hybrid models in GroundWater Level Prediction (Case Study: Birjand Plain)

کلیدواژه: Wavelet analysis, Groundwater Level, Birjand plain, Fuzzy Neural Network, Water resources management

نویسندگان: Dastuorani Mehdi, Khayat Amir, Akhondi Zahra

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Given the scarcity of Water resources and the importance of their optimal management, accurate prediction of groundWater level fluctuations is essential. Intelligent models such as time series, wavelet analysis, artificial neural networks, and support vector machines can help in the sustainable u... ادامه

سال:2024

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The Role of Water Accounting and Auditing in Water Governance

کلیدواژه: Water Accounting, Water Auditing, Water Governance, Water allocation, Sustainable development

نویسندگان: Taheri Seyedeh Mohaddeseh, Abdollahpour Masoud, Davary Kamran

ناشر: آب و توسعه پایدار - JOURNAL OF Water AND SUSTAINABLE DEVELOPMENT

In this Conceptual-analytical article, the concept of Water accounting and the necessity of the role of Water accounting in Water governance have been explained, as well as the correction of common previous beliefs and assumptions, and the step-by-step description of the Water accounting cycle. For ... ادامه

سال:2025

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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

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Evaluation of the Neuro-fuzzy and Hybrid Wavelet-Neural models Efficiency in River Flow Forecasting (Case Study: Mohmmad Abad Watershed)

کلیدواژه: Daily flow time series,Flow forecasting,Neuro-fuzzy model,Wavelet-neural model

نویسندگان: Niromandfard Fariba, KHASHEI SIUKI ABBAS, SHAHIDI ALI

ناشر: پژوهشنامه مدیریت حوزه آبخیز - Journal of Watershed Management Research

One of the most important issues in Watersheds management is rainfall-runoff hydrological process forecasting. Using new models in this field can contribute to proper management and planning. In addition, river flow forecasting, especially in flood conditions, will allow authorities to reduce the ri... ادامه

سال:2019

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New Approach for Prediction of Water Distribution Network Pipes Failure Based on a Intelligent Hybrid Model (Case Study: Gorgan Water Distribution Network)

کلیدواژه: Gorgan,Hybrid Model,Intelligent Model,Pipe Failure Rate,Urban Water Distribution Network

نویسندگان: JAFARI S.M., ZAHIRI A., BOZORG HADAD O., MOHAMMAD REZAPOUR TABARI M.

ناشر: پژوهش های حفاظت آب و خاک - Journal of Water and Soil Conservation

Background and Objectives: Urban Water distribution networks consider as one of the essential infrastructural facilities and equipment in urban areas. The pipes are one of the primary and essential components of a Water distribution network break during operation due to various factors. So, developi... ادامه

سال:2021

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Application of Adaptive Neural-fuzzy Intelligent models in Extension of Hybrid Force/Displacement Seismic Design method for EBF Regular Structures, subjected to Near-fault Earthquakes

کلیدواژه: Hybrid Force/Displacement Design,Time History Analysis,Seismic demand,Pulse-type near-fault earthquake,Adaptive Neural-Fuzzy Intelligent Models

نویسندگان: Razavi Seyed Abdonnabi, Siahpolo Navid, Mahdavi Adeli Mehdi

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Due to the significant advantages of the performance-based seismic design method, such as the possibility of determining the possible damage and financial and human losses of residents and neighbors of the structure, this method has been widely welcomed. However, since this method requires more soph... ادامه

سال:2022

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A Hybrid fuzzy Multi-criteria Decision Making Model Based on fuzzy DEMATEL with fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices

کلیدواژه: LARG Supply Chain,LARG Practices,FDANP Technique,Interpretative Structural Model,Dairy Industries

نویسندگان: AKBARZADEH Z., Safaei Ghadikolaei A.H., MADHOUSHI M., AGHAJANI H.

ناشر: - International Journal of Engineering

In recent years, taking advantage of LARG supply chain (SC) paradigm, a combination of four paradigms (clean, agile, resilience and green) has been increasingly employed. For capturing the advantages of LARG in SC, companies needed to recognize proper practices and implement them with appropriate pl... ادامه

سال:2019

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