World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
12364
World Ranking
7791
National Ranking
84

Overview

Mahesh Pal is affiliated with the National Institute of Technology Kurukshetra in India. Their research spans multiple disciplines primarily within Engineering and Environmental Science.

The main fields of study for Mahesh Pal include:

  • Engineering
  • Environmental Science

Their subfields of study cover specialized areas such as:

  • Media Technology
  • Environmental Engineering
  • Water Science and Technology
  • Ecology
  • Civil and Structural Engineering

Mahesh Pal focuses on numerous research topics within these fields, including:

  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Advanced Image Fusion Techniques
  • Groundwater and Watershed Analysis
  • Water Quality and Pollution Assessment
  • Groundwater and Isotope Geochemistry
  • Hydrological Forecasting Using AI

Their recent papers demonstrate the application of machine learning and AI in environmental and remote sensing contexts. Notable recent publications are:

  • "Prediction of groundwater quality indices using machine learning algorithms", 2021, Water Practice & Technology
  • "Deep neural network-based predictive modeling of road accidents", 2020, Neural Computing and Applications
  • "Cloud detection using sentinel 2 imageries: a comparison of XGBoost, RF, SVM, and CNN algorithms", 2022, Geocarto International
  • "CNN-based fusion and classification of SAR and Optical data", 2020, International Journal of Remote Sensing
  • "Parametric study of convolutional neural network based remote sensing image classification", 2021, International Journal of Remote Sensing

Mahesh Pal frequently collaborates with other researchers. The most common coauthors are:

  • Hemant Raheja
  • Arun Goel
  • Mantosh Biswas
  • Achala Shakya
  • Amit Prabhakar

The distribution of Mahesh Pal's publications shows a consistent presence in specialized and interdisciplinary journals. Frequent publication venues include:

  • International Journal of Remote Sensing
  • arXiv (Cornell University)
  • Water Practice & Technology
  • ISH Journal of Hydraulic Engineering
  • Journal of Engineering Science and Technology Review

Best Publications

  • Random forest classifier for remote sensing classification

    M. Pal

  • An assessment of the effectiveness of decision tree methods for land cover classification

    Mahesh Pal;Paul M Mather

  • Support vector machines for classification in remote sensing

    M. Pal;P. M. Mather

  • Feature Selection for Classification of Hyperspectral Data by SVM

    Mahesh Pal;Giles M Foody

  • Assessment of the effectiveness of support vector machines for hyperspectral data

    Mahesh Pal;P. M. Mather

  • Kernel-based extreme learning machine for remote-sensing image classification

    Mahesh Pal;Aaron E. Maxwell;Timothy A. Warner

  • Support vector machines‐based modelling of seismic liquefaction potential

    Mahesh Pal

  • M5 model tree based modelling of reference evapotranspiration

    Mahesh Pal;Surinder Deswal

  • Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale, USA

    Shuvajit Bhattacharya;Timothy R. Carr;Mahesh Pal

  • Modelling pile capacity using Gaussian process regression

    Mahesh Pal;Surinder Deswal

  • Some issues in the classification of DAIS hyperspectral data

    Mahesh Pal;P. M. Mather

  • Ensemble of support vector machines for land cover classification

    M. Pal

  • Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data

    M. Pal;G. M. Foody

  • Support vector machine‐based feature selection for land cover classification: a case study with DAIS hyperspectral data

    M. Pal

  • Support Vector classifiers for Land Cover Classification

    Mahesh Pal;Paul M. Mather

  • Modeling Pile Capacity Using Support Vector Machines and Generalized Regression Neural Network

    Mahesh Pal;Surinder Deswal

  • Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree

    Krishna Kumar Singh;Mahesh Pal;V. P. Singh

  • M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey

    M. Taghi Sattari;Mahesh Pal;Halit Apaydin;Fazli Ozturk

  • Performance evaluation of artificial neural network approaches in forecasting reservoir inflow

    M. Taghi Sattari;Kadri Yurekli;Mahesh Pal

  • Ground water quality classification by decision tree method in Ardebil region, Iran

    S. Mehdi Saghebian;M. Taghi Sattari;Rasoul Mirabbasi;Mahesh Pal

  • Random forests for land cover classification

    M. Pal

Frequent Co-Authors

Giles M. Foody
Giles M. Foody University of Nottingham
David Arditi
David Arditi Illinois Institute of Technology

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