Search Results - "Sihag, Parveen"

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  1. 1

    Prediction of the compressive strength of concrete using various predictive modeling techniques by Gupta, Sakshi, Sihag, Parveen

    Published in Neural computing & applications (01-04-2022)
    “…Concrete is one of the most essential construction materials used in construction industry. For assessment of concrete strength and quality, compressive…”
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    Journal Article
  2. 2

    Estimating critical depth and discharge over sloping rough end depth using machine learning by Mohammed, Ahmed Y., Sihag, Parveen

    Published in Journal of hydroinformatics (01-03-2024)
    “…Abstract This study uses machine learning (ML) to predict the end-depth structure's discharge and critical depth (yc). Linear regression, M5P, random forest,…”
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    Journal Article
  3. 3

    Application of SVM, ANN, GRNN, RF, GP and RT models for predicting discharge coefficients of oblique sluice gates using experimental data by Salmasi, Farzin, Nouri, Meysam, Sihag, Parveen, Abraham, John

    Published in Water science & technology. Water supply (01-02-2021)
    “…Abstract Gates are commonly used to adjust water flow in open channels. By using an oblique/inclined gate, the water transferring capacity of open irrigation…”
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  4. 4

    ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash by Mohammed, Ahmed, Rafiq, Serwan, Sihag, Parveen, Kurda, Rawaz, Mahmood, Wael, Ghafor, Kawan, Sarwar, Warzer

    “…This study aims to establish systematic multiscale models to predict the compressive strength of cement mortar containing a high volume of fly ash (FA) and to…”
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  5. 5

    Assessment of Soft Computing Techniques for the Prediction of Compressive Strength of Bacterial Concrete by Almohammed, Fadi, Sihag, Parveen, Sammen, Saad Sh, Ostrowski, Krzysztof Adam, Singh, Karan, Prasad, C Venkata Siva Rama, Zajdel, Paulina

    Published in Materials (10-01-2022)
    “…In this investigation, the potential of M5P, Random Tree (RT), Reduced Error Pruning Tree (REP Tree), Random Forest (RF), and Support Vector Regression (SVR)…”
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    Journal Article
  6. 6

    Predicting the infiltration characteristics for semi-arid regions using regression trees by Sihag, Parveen, Kumar, Munish, Sammen, Saad Sh

    Published in Water science & technology. Water supply (01-09-2021)
    “…Abstract The study of the infiltration process is considered essential and necessary for all hydrology studies. Therefore, accurate predictions of infiltration…”
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  7. 7

    Experimental investigation and prediction of free fall jet scouring using machine learning models by Salmasi, Farzin, Sihag, Parveen, Abraham, John, Nouri, Meysam

    Published in International journal of sediment research (01-06-2023)
    “…The current study deals with the depth of scour at the location of impact between a free fall jet and a riverbed. The current study is based on extensive…”
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  8. 8

    Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques by Bhoria, Sangeeta, Sihag, Parveen, Singh, Balraj, Ebtehaj, Isa, Bonakdari, Hossein

    Published in Neural computing & applications (01-12-2021)
    “…A Parshall flume is a versatile device due to its diverse applications in irrigation canals, mine discharge, dam seepage, sewage treatment plants and many…”
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  9. 9

    Estimation of UCS-FT of Dispersive Soil Stabilized with Fly Ash, Cement Clinker and GGBS by Artificial Intelligence by Sihag, Parveen, Suthar, Manju, Mohanty, Samaptika

    “…In this investigation, the unconfined compressive strength-freeze–thaw (UCS-FT) of dispersive soil stabilized with cement clinker, ground granulated blast…”
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  10. 10

    On the Indirect Estimation of Wind Wave Heights over the Southern Coasts of Caspian Sea: A Comparative Analysis by Lama, Giuseppe Francesco Cesare, Sadeghifar, Tayeb, Azad, Masoud Torabi, Sihag, Parveen, Kisi, Ozgur

    Published in Water (Basel) (01-03-2022)
    “…The prediction of ocean waves is a highly challenging task in coastal and water engineering in general due to their very high randomness. In the present case…”
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    Journal Article
  11. 11

    Approximation of aeration efficiency at sharp-crested weirs using metaheuristic regression approaches by Jaiswal, Akash, Goel, Arun, Sihag, Parveen

    Published in Journal of hydroinformatics (01-05-2023)
    “…Abstract This paper explores the ability of multivariate adaptive regression splines, decision trees, Gaussian processes, and multiple non-linear regression…”
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    Journal Article
  12. 12

    Predicting Bond Strength of FRP Bars in Concrete Using Soft Computing Techniques by Thakur, Mohindra Singh, Pandhiani, Siraj Muhammed, Kashyap, Veena, Upadhya, Ankita, Sihag, Parveen

    “…Fiber-reinforced plastic (FRP) rebars can be the futuristic potential reinforcing material in place of mild steel (MS) rebars which are highly prone to…”
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  13. 13

    Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity by Sihag, Parveen, Mohsenzadeh Karimi, Sahar, Angelaki, Anastasia

    Published in Applied water science (01-07-2019)
    “…Hydraulic conductivity of soil reveals its influencing role in the studies related to management of surface and subsurface flow, e.g. irrigation and drainage…”
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  14. 14

    Comparative Evaluation of Infiltration Models by Vand, Alireza Sepah, Sihag, Parveen, Singh, Balraj, Zand, Mehran

    Published in KSCE journal of civil engineering (01-10-2018)
    “…Infiltration models are very helpful in designing and evaluating surface irrigation systems. The main purpose of this study is to compare infiltration models…”
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  15. 15

    Estimation and inter-comparison of infiltration models by Sihag, Parveen, Tiwari, N.K., Ranjan, Subodh

    Published in Ulum al-miyah (01-04-2017)
    “…•The main aim is estimation and inter-comparison of infiltration models.•The field infiltration tests were carried out by double ring infiltrometer.•The…”
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  16. 16

    Suspended sediment load prediction in consecutive stations of river based on ensemble pre-post-processing kernel based approaches by Ghasempour, Roghayeh, Roushangar, Kiyoumars, Sihag, Parveen

    Published in Water science & technology. Water supply (01-11-2021)
    “…Abstract Sediment transportation and accurate estimation of its rate is a significant issue for river engineers and researchers. In this study, the capability…”
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  17. 17

    Prediction of Homogeneous Earthen Slope Safety Factors Using the Forest and Tree Based Modelling by Nouri, Meysam, Sihag, Parveen, Salmasi, Farzin, Abraham, John

    Published in Geotechnical and geological engineering (01-04-2021)
    “…This study assesses the potential of soft-computing based models i.e. Random Forest ( RF ), Random Tree ( RT ), M5P, Bagging M5P and Stochastic M5P for…”
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  18. 18

    An expert system for predicting the infiltration characteristics by Singh, Balraj, Ebtehaj, Isa, Sihag, Parveen, Bonakdari, Hossein

    Published in Water science & technology. Water supply (01-03-2022)
    “…Abstract Infiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow, and surface and subsurface water quality and quantity…”
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  19. 19

    Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder by Sharma, Nitisha, Thakur, Mohindra Singh, Sihag, Parveen, Malik, Mohammad Abdul, Kumar, Raj, Abbas, Mohamed, Saleel, Chanduveetil Ahamed

    Published in Materials (23-08-2022)
    “…The purpose of the research is to predict the compressive and flexural strengths of the concrete mix by using waste marble powder as a partial replacement of…”
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  20. 20

    Soft computing technique-based prediction of water quality index by Singh, Balraj, Sihag, Parveen, Singh, Vijay P., Sepahvand, Alireza, Singh, Karan

    Published in Water science & technology. Water supply (01-12-2021)
    “…Abstract Water quality plays a crucial role in management of water resources. Water quality indexes (WQIs) are frequently used methods to assess water quality…”
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