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Hybrid Wavelet-M5 Model Application in Rainfall-Runoff Process Forecast (Case study: Aji Chay Catchment)

کلیدواژه: Artificial Network,Decision Tree,Rainfall-Runoff Modeling,Wavelet Transform

نویسندگان: Davanlou Tajbakhsh A., NOURANI V., Molajou A.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Rainfall-runoff process is one of the most important and complex phenomena in the hydrological cycle and therefore different views have been presented for modeling the phenomenon. Obviously, the recognition of the behavior of the catchment can play an important role in selecting the appropriate mode... ادامه

سال:2019

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Financing SMEs Through the Islamic Qard al-Hasan

کلیدواژه:

نویسندگان: A. Sa’ad ؛ A. A. Pitchay

ناشر:

Financing small and medium enterprises (SMEs) is one of the most important mechanisms to boost economic growth in both developed and developing nations. The contributions of SMEs in many countries’ gross domestic product (GDP) have been overwhelming. SMEs improve job creation in all sectors of the e... ادامه

سال:2020

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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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Hybrid Artificial Intelligence Model Development for Roller-compacted Concrete Compressive Strength Estimation

کلیدواژه: Artificial Neural Network,Artificial Bee Colony Algorithm,Roller-Compacted Concrete,Compressive strength

نویسندگان: Ranjbar A., Barahmand N., Ghanbari A.

ناشر: - International Journal of Engineering

This study implemented the artificial bee colony (ABC) metaheuristic algorithm to optimize the Artificial Neural Network (ANN) values for improving the accuracy of model and evaluate the developed model. Compressive strength of RCC was investigated using mix design materials in three forms, namely v... ادامه

سال:2020

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Spatial-Temporal Disaggregation of Rainfall Time Series Using Wavelet-Artificial Neural Network Hybrid Model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه

سال:2019

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Statistical Modeling and Optimization of Thrust Force and Surface Roughness in Drilling Hybrid Aluminum Matrix Composites

کلیدواژه: Metal Matrix Composite,Drilling,Thrust Force,Surface Roughness,Optimization

نویسندگان: Tahmasbi V., Sousanabadi Farahani A., Baghi M.H., Ghazi khansari D.

ناشر: مهندسی مکانیک مدرس - Modares Mechanical Engineering

Metal composites have received attention from various industries due to their excellent properties, such as a high strength-to-weight ratio and wear resistance. However, due to the presence of hard and abrasive particles, the challenges have always faced machining. Therefore, studying the effective ... ادامه

سال:2023

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A New Perspective of Benevolent Loan, QARD Al-Hassan, Using Upfront Payment ‘Mesbah Point’

کلیدواژه: benevolent loan ؛ Islamic finance ؛ mesbah finance ؛ Microfinance ؛ Qard al-hasan

نویسندگان: A. Izadyar ؛ Feroza Ragnath

ناشر: Journal of Economic & Financial Studies

Bound by religious or moral beliefs of the participants, benevolent loan, Qard al-hasan, is an interest free loan in which only the return of the capital is required during the term of the loan. Lack of institutional investor participation, as well as high administrative fees, are some of the major ... ادامه

سال:2014

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The Presentation of a Hybrid Anomaly Detection Model Using Inverse Weight Clustering and Machine Learning in Cloud Environments

کلیدواژه: IDS,Cloud Computing,Fog Computing,Anomaly Detection,IoT

نویسندگان: Jafar Gholi Beik A., Shiri Ahmad Abadi M. E., Rezakhani A.

ناشر: پدافند الکترونیکی و سایبری - JOURNAL OF ELECTRONIC AND CYBER DEFENCE

Today, due to highly advanced attacks and intrusions, it has become very difficult to detect IoT attacks in cloud environments. Other problems with cloud systems include low error detection accuracy, false positive rates, and long computation times. In the proposed method, we present a hybrid intrus... ادامه

سال:2021

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Simulation of Discharge Coefficient of Sharp-Crested Circular Weirs Using Hybrid ANFIS-Firefly Model

کلیدواژه: Circular weir,Discharge coefficient,Modeling,ANFIS,ANFIS-FA

نویسندگان: ALIZADEH A., YAGHOUBI B., SHABANLOU S.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

In this study, the discharge coefficient of sharp-crested weirs located on circular channels was modeled using the ANFIS and ANFIS-Firefly (ANFIS-FA) algorithm. Also, the Monte Carlo simulations (MCs) were used to enhance the compatibilities of the soft computing models. However, the k-fold cross va... ادامه

سال:2020

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Introduction of a Hybrid Multi-phase Segmentation Method Emphasizing Agricultural Land Boundary Extraction based on a Combination of Active Contour Models

کلیدواژه: :Active Contour,Extraction of Agricultural Land Boundaries,Edge,Region Information,Multiphase Model

نویسندگان: sh. Haghshenas, EBADI H., KIANI A.

ناشر: علوم و فنون نقشه برداری - JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY

Detecting agricultural land borders from high-resolution imagery is a major challenge due to the complex earth environment، which has become a significant issue in researches. Lack of location data to determine the area and location of agricultural land، to control and plan about cultivation and foo... ادامه

سال:2019

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