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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

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

12 بازدید

مشاهده/دانلود

Using Hybrid Wavelet-Support Vector Machine and Wavelet-Neural Network Models for Groundwater Level Prediction in Ardabil Plain

کلیدواژه: SVM,Wavelet transfor,SOM,Groundwater,Ardabil plain

نویسندگان: Daneshvar Vousoughi Farnaz, Manafian azar Vahid

ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY

Groundwater has played an important role in the urban and rural water supply and agriculture. In order to manage water resources, an accurate and reliable Groundwater level forecasting is needed. In this research, 15 piezometers in Ardabil plain were used. SVM was applied for a prediction method in ... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

10 بازدید

مشاهده/دانلود

The Potential of the Hybrid Support Vector Regression Model for Predicting River Sediment Discharge (Case Study: Keshkan-Lorestan River)

کلیدواژه: Kashkan, Support vector regression, suspended sediments, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Providing a robust and reliable predictive model for river sediment discharge is an essential task for several environmental and geomorphological perspectives, including water quality, riverbed engineering sustainability, and aquatic habitats. In this research, a new hybrid intelligent approach base... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

8 بازدید

مشاهده/دانلود

Assessment of Groundwater Hardness in Khorramabad Plain Using Hybrid Models Based on Metaheuristic Algorithms

کلیدواژه: Groundwater, Khorramabad, Support Vector Regression, Metaheuristics

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Introduction: Over the past century, water scarcity has become a significant global issue due to climate change, population growth, urbanization, and agriculture. In response to this problem, Groundwater resources have been used extensively for various purposes, including agriculture, industry, and ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

16 بازدید

مشاهده/دانلود

Investigating the Application of Hybrid Support Vector Machine Models in Predicting River Flow of Karkhe Basin

کلیدواژه: Bayesian Network,Support Vector Machine,Wavelet,Karkhe Basin

نویسندگان: DEHGHANI REZA, Torabi Poodeh Hasan, YOUNESI HOJJATOLLAH, Shahinejad Babak

ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY

Introduction: River flow forecasting is one of the most important issues in water resources management and planning, especially in making the right decisions in the event of floods and droughts. Various approaches to hydrology have been introduced to predict river flow rates, among which, intelligen... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

مشاهده/دانلود

Aplication of the Hybrid Model of Support Vector Machine-Algorithm Artificial Flora in Estimating the Daily Flow of Rivers (Case study: Dez basin)

کلیدواژه: Artificial Flora Alghorithm,Prediction,Dez Basin,Support Vector Machine

نویسندگان: DEHGHANI R., TORABI POUDEH H., YOUNESI H., SHAHINEJAD B.

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

In this study, the hybrid Support Vector machine-artificial flora algorithm method was developed and the results were compared with those of the Support Vector machine-wavelet model. The case study of Dez catchment area was used in order to estimate the flow rate of the rivers employing the daily di... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

9 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

Development of Hybrid Wavelet-Artificial Neural Network and Support Vector Machine Approach for Multi-Station Rainfall-Runoff Modeling Using Clustering and Mutual Information Tools

کلیدواژه: Mutual information,Wavelet transform,Little River watershed,Self-organizing map,Artificial intelligence

نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Monirifar Hosein, Sharghi Elnaz

ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING

Conversion of rainfall to runoff according to the laws of gravity vivifies earth, replenishes Groundwater, keeps rivers and lakes full of water, and varies the landscape by the action of erosion. Large uncertainties and high non-linearity of the Rainfall-Runoff (R-R) process make it complex task to ... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

Hybrid Learning Machine Metaheuristic Model for Estimating Groundwater Level

کلیدواژه: Groundwater level,Weighted least square support vector machine,Particle swarm optimization,Gravitational search algorithm-Efficiency

نویسندگان: Khosravi Shiva, Robati Amir

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Groundwater is the most reliable source of supply for potable water and Supports a wide array of economic and environmental services. There is a significant concern that Groundwater levels are declining due to intense aquifer use. The sustainable management of Groundwater resources requires good pla... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

Developing Hybrid GA-AHP Groundwater Vulnerability Model Based on DRASTIC Method

کلیدواژه: DRASTIC,Genetic algorithm,Geographic information system (GIS),Groundwater vulnerability,Multi-criteria decision making

نویسندگان: Norouzi gharagezloo Y., NIKOO M.R., Karimi Jashani A., DEHGHANI M.

ناشر: دانش آب و خاک - Water and Soil Science

Proper management of Groundwater resources, as the main source of fresh water, is very important. Groundwater vulnerability assessment has been applied as a management tool for prioritizing the use of resources, controling the contaminant transfer and adopting cost-effective ways for aquifer managem... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

9 بازدید

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