Search Results - "Muhammed Pandhiani, Siraj"

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

    Exploring the application of machine learning techniques for prediction of infiltration rate by Muhammed Pandhiani, Siraj

    Published in Arabian journal of geosciences (01-06-2022)
    “…Water serves as an essential source for producing hydrological energy and sustainable irrigation systems, and therefore, it should be managed effectively…”
    Get full text
    Journal Article
  2. 2
  3. 3

    Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven Techniques by Pandhiani, Siraj Muhammed, Sihag, Parveen, Shabri, Ani Bin, Singh, Balraj, Pham, Quoc Bao

    “…AbstractA reliable and continuous streamflow simulation capability is essential for systematic management of water resource systems. Thus, predicting…”
    Get full text
    Journal Article
  4. 4
  5. 5

    Predictive modeling of PM2.5 using soft computing techniques: case study—Faridabad, Haryana, India by Sihag, Parveen, Kumar, Vinod, Afghan, Fazal Rahman, Pandhiani, Siraj Muhammed, Keshavarzi, Ali

    Published in Air quality, atmosphere and health (01-12-2019)
    “…Particulate matter has a detrimental consequence on the health of living organisms throughout the world and predicting their concentration is very imperative…”
    Get full text
    Journal Article
  6. 6

    Model-based soil temperature estimation using climatic parameters: the case of Azerbaijan Province, Iran by Sihag, Parveen, Esmaeilbeiki, Fatemeh, Singh, Balraj, Pandhiani, Siraj Muhammed

    Published in Geology, ecology, and landscapes (02-07-2020)
    “…Estimating soil temperature (ST) profile is identified as essential knowledge for plants, crop growth, and germination in all agriculture regions. In this…”
    Get full text
    Journal Article
  7. 7

    Estimation of permeability of soil using easy measured soil parameters: assessing the artificial intelligence-based models by Singh, Balraj, Sihag, Parveen, Pandhiani, Siraj Muhammed, Debnath, Sourav, Gautam, Saurabh

    Published in ISH journal of hydraulic engineering (02-11-2021)
    “…In this study, the support vector machine (SVM) technique was used to estimate the permeability of the soil. The performance of SVM model was equated with…”
    Get full text
    Journal Article
  8. 8

    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…”
    Get full text
    Journal Article