Search Results - "Feizi, Hajar"

  • Showing 1 - 8 results of 8
Refine Results
  1. 1

    Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting by Halit Apaydin, Hajar Feizi, Mohammad Taghi Sattari, Muslume Sevba Colak, Shahaboddin Shamshirband, Kwok-Wing Chau

    Published in Water (Basel) (01-05-2020)
    “…Due to the stochastic nature and complexity of flow, as well as the existence of hydrological uncertainties, predicting streamflow in dam reservoirs,…”
    Get full text
    Journal Article
  2. 2

    An efficient strategy for predicting river dissolved oxygen concentration: application of deep recurrent neural network model by Moghadam, Salar Valizadeh, Sharafati, Ahmad, Feizi, Hajar, Marjaie, Seyed Mohammad Saeid, Asadollah, Seyed Babak Haji Seyed, Motta, Davide

    Published in Environmental monitoring and assessment (01-12-2021)
    “…Dissolved oxygen (DO) concentration in water is one of the key parameters for assessing river water quality. Artificial intelligence (AI) methods have…”
    Get full text
    Journal Article
  3. 3

    A comparative study of different optimization algorithms for the optimum operation of the Mahabad dam reservoir by Feizi, Hajar, Sattari, Mohammad Taghi, Apaydin, Halit

    Published in Results in engineering (01-03-2024)
    “…In this study, the performance of the Differential Evolution (DE) Algorithm, the Genetic Algorithm (GA) and Teaching-Learning Based Optimization (TLBO)…”
    Get full text
    Journal Article
  4. 4

    Estimation of sodium adsorption ratio in a river with kernel-based and decision-tree models by Sattari, Mohammad Taghi, Feizi, Hajar, Colak, Muslume Sevba, Ozturk, Ahmet, Apaydin, Halit, Ozturk, Fazli

    Published in Environmental monitoring and assessment (01-09-2020)
    “…The control of surface water quality plays an important role in the management of water resources. In this context, the estimation and assessment of sodium…”
    Get full text
    Journal Article
  5. 5

    Classification of Water Turbidity and Depth of Secchi Disk using Convolutional Neural Network by Hajar Feizi, Mohammad Taghi Sattari, Mohammad Mosaferi

    Published in محیط زیست و مهندسی آب (01-06-2023)
    “…Among the important parameters in water quality, are the amount of turbidity and the depth of light penetration in water. One common way to determine water…”
    Get full text
    Journal Article
  6. 6

    Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey by Feizi, Hajar, Apaydin, Halit, Sattari, Mohammad Taghi, Colak, Muslume Sevba, Sibtain, Muhammad

    “…Reliable and accurate prediction models effectively deal with nonlinear and non-stationary characteristics of reservoir inflow and associated variables…”
    Get full text
    Journal Article
  7. 7

    Estimation of monthly and seasonal precipitation: A comparative study using data-driven methods versus hybrid approach by Taghi Sattari, Mohammad, Feizi, Hajar, Samadianfard, Saeed, Falsafian, Kambiz, Salwana, Ely

    “…•Modeling monthly and seasonal precipitation with data-based approaches.•Application of Relief and CFS feature selection algorithms for selecting…”
    Get full text
    Journal Article
  8. 8

    Surface water quality classification using data mining approaches: Irrigation along the Aladag River by Sattari, Mohammad Taghi, Feizi, Hajar, Colak, Muslume Sevba, Ozturk, Ahmet, Ozturk, Fazli, Apaydin, Halit

    Published in Irrigation and drainage (01-12-2021)
    “…Knowledge of water quality is an important requirement in planning, developing, and protecting water resources. Therefore, it is essential to determine the…”
    Get full text
    Journal Article