M. Pal

发表

Random forests for land cover classification

M. Pal, M. Pal, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

Combining RapidEye Satellite Imagery and Lidar for Mapping of Mining and Mine Reclamation

Aaron E. Maxwell, T. Warner, M. Pal, 2014 .

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

M. Pal, M. Taghi Sattari, Halit Apaydin, 2013, Water Resources.

Factors influencing the accuracy of remote sensing classifications : a comparative study

M. Pal, 2002 .

M5 model tree based modelling of reference evapotranspiration

Mahesh Pal, Surinder Deswal, M. Pal, 2009 .

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

Vijay P. Singh, Mahesh Pal, V. Singh, 2010 .

Estimation of Discharge and End Depth in Trapezoidal Channel by Support Vector Machines

Mahesh Pal, Arun Goel, M. Pal, 2007 .

KERNEL METHODS IN REMOTE SENSING: A REVIEW

Mahesh Pal, M. Pal, 2009 .

Evaluating the potential of pyramid-based fusion coupled with convolutional neural network for satellite image classification

M. Pal, M. Biswas, A. Shakya, 2022, Arabian Journal of Geosciences.

M5 model trees and neural network based modelling of ET0 in Ankara, Turkey

Mahesh Pal, Ali Ünlükara, Mohammad Taghi Sattari, 2013 .

Estimation of Removal Efficiency for Settling Basins Using Neural Networks and Support Vector Machines

Vijay P. Singh, Mahesh Pal, Chandra Shekhar P. Ojha, 2008 .

Modeling of overall volumetric oxygen transfer by plunging jets of different geometries

M. Pal, S. Deswal, S. Singh, 2010 .

Prediction of lateral and oblique load for batter pile group using GRNN, NN, and ANFIS

Mahesh Pal, Tanvi Singh, M. Pal, 2021 .

Prediction of the end-depth ratio and discharge in semi-circular and circular shaped channels using support vector machines

Mahesh Pal, Arun Goel, M. Pal, 2006 .

GIS BASED PROJECTS INFORMATION SYSTEM FOR CONSTRUCTION MANAGEMENT

Mahesh Pal, V. K. Bansal, V. K. Bansal, 2006 .

Geographic Information Systems Based Quantity Takeoffs in Buildings Construction

V. K. Bansal, M. Pal, 2011 .

Classification of Hydraulic Jump in Rough Beds

M. Pal, H. Azamathulla, G. Mahtabi, 2020, Water.

MODELUNG OF PAN EVAPORATION USING SUPPORT VECTOR MACHINES ALGORITHM

M. Pal, S. Deswal, 2008 .

Fusion and classification of multi-temporal SAR and optical imagery using convolutional neural network

M. Pal, M. Biswas, A. Shakya, 2021, International Journal of Image and Data Fusion.

Efficient optimization of process parameters in 2.5 D end milling using neural network and genetic algorithm

M. Pal, P. Chandna, D. Kumar, 2018, International Journal of System Assurance Engineering and Management.

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

Paul M. Mather, Mahesh Pal, P. Mather, 2003 .

Support vector machines/relevance vector machine for remote sensing classification: A review

M. Pal, 2011, ArXiv.

Multiclass Approaches for Support Vector Machine Based Land Cover Classification pdf

Mahesh Pal, M. Pal, 2008, ArXiv.

Support Vector Machines

Mahesh Pal, Pakorn Watanachaturaporn, P. Watanachaturaporn, 2004 .

Random forest classifier for remote sensing classification

Mahesh Pal, M. Pal, Mahesh Pal, 2005 .

Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients

M. Pal, M. Biswas, A. Shakya, 2023, Remote. Sens..

K-nearest neighbour-based feature selection using hyperspectral data

M. Pal, Teja B. Charan, Akshay Poriya, 2020, Remote Sensing Letters.

Ensemble of M5 Model Tree Based Modelling of Sodium Adsorption Ratio

John Abraham, Mahesh Pal, Mohammad Taghi Sattari, 2018 .

Hybrid genetic algorithm for feature selection with hyperspectral data

Mahesh Pal, M. Pal, 2013 .

M5 model tree for pier scour prediction using field dataset

Mahesh Pal, N. K. Tiwari, N. K. Singh, 2012 .

Pier scour modelling using random forest regression

Mahesh Pal, N. K. Tiwari, N. K. Singh, 2013 .

Feature Selection for Classification of Hyperspectral Data by SVM

Giles M. Foody, Mahesh Pal, G. Foody, 2010, IEEE Transactions on Geoscience and Remote Sensing.

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

Mahesh Pal, M. Pal, 2006 .

Prediction of groundwater quality indices using machine learning algorithms

M. Pal, A. Goel, Hemant Raheja, 2021, Water Practice and Technology.

Support vector machines for classification in remote sensing

Paul M. Mather, Mahesh Pal, P. Mather, 2005 .

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

Giles M. Foody, Mahesh Pal, G. Foody, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Efficient optimization of process parameters in 2.5 D end milling using neural network and genetic algorithm

Dinesh Kumar, Mahesh Pal, Pankaj Chandna, 2018, Int. J. Syst. Assur. Eng. Manag..

Support vector machines‐based modelling of seismic liquefaction potential

Mahesh Pal, M. Pal, 2006 .

Assessment of the effectiveness of support vector machines for hyperspectral data

Paul M. Mather, Mahesh Pal, P. Mather, 2004, Future Gener. Comput. Syst..

Infinite ensemble of support vector machines for prediction of musculoskeletal disorders risk

P Chandna, M Pal, M. Pal, 2012 .

The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data

Lucy Bastin, Giles M. Foody, Duccio Rocchini, 2016, ISPRS Int. J. Geo Inf..

Modelling pile capacity using Gaussian process regression

Mahesh Pal, Surinder Deswal, M. Pal, 2010 .

Support vector regression based shear strength modelling of deep beams

Mahesh Pal, Surinder Deswal, M. Pal, 2011 .

Parametric study of convolutional neural network based remote sensing image classification

M. Pal, M. Biswas, A. Shakya, 2021 .

Ensemble of support vector machines for land cover classification

Paul M. Mather, Mahesh Pal, P. Mather, 2008, ArXiv.

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

Mahesh Pal, Surinder Deswal, M. Pal, 2008 .

CNN-based fusion and classification of SAR and Optical data

Mantosh Biswas, Mahesh Pal, Achala Shakya, 2020 .

A comparison of decision tree and backpropagation neural network classifiers for land use classification

Paul M. Mather, Mahesh Pal, P. Mather, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Artificial immune‐based supervised classifier for land‐cover classification

Mahesh Pal, M. Pal, 2008 .

Some issues in the classification of DAIS hyperspectral data

Paul M. Mather, Mahesh Pal, P. Mather, 2006 .

Error‐corrected output coding‐based class decomposition approach for remote sensing classification

Mahesh Pal, M. Pal, 2006 .

M5 model tree for land cover classification

Mahesh Pal, M. Pal, 2006 .

DECISION TREE BASED CLASSIFICATION OF REMOTELY SENSED DATA

Paul M. Mather, Mahesh Pal, P. Mather, 2001 .

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

Mahesh Pal, Rasoul Mirabbasi, M. Taghi Sattari, 2014, Arabian Journal of Geosciences.

Deep neural network-based predictive modeling of road accidents

M. Pal, Gyanendra Singh, Yogender Yadav, 2020, Neural Computing and Applications.

MODELLING PILE CAPACITY USING GENERALISED REGRESSION NEURAL NETWORK

Mahesh Pal, M. Pal, 2011 .

Support vector regression based modeling of pier scour using field data

Mahesh Pal, N. K. Tiwari, N. K. Singh, 2011, Eng. Appl. Artif. Intell..

Optimization of neural network parameters using Grey–Taguchi methodology for manufacturing process applications

Dinesh Kumar, Mahesh Pal, Pankaj Chandna, 2015 .

Advanced algorithms for land use and cover classification

Mahesh Pal, M. Pal, 2012 .

Class Decomposition Approaches for Land Cover Classification: A Comparative Study

M. Pal, M. Pal, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques

P. Aggarwal, Y. Aggarwal, P. Sihag, 2019, International Journal of Engineering.

Comparative analysis of support vector machine and artificial neural network models for soil cation exchange capacity prediction

A. A. Jafarzadeh, M. Pal, M. Servati, 2015, International Journal of Environmental Science and Technology.

Ensemble Learning with Decision Tree for Remote Sensing Classification

Mahesh Pal, M. Pal, 2007 .

Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5 model tree

Mahesh Pal, Tanvi Singh, M. Pal, 2018, Frontiers of Structural and Civil Engineering.

Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5 model tree

M. Pal, V. K. Arora, Tanvi Singh, 2018, Frontiers of Structural and Civil Engineering.

A transformer-based cloud detection approach using Sentinel 2 imageries

M. Pal, M. Biswas, Rohit Singh, 2023, International Journal of Remote Sensing.

Multinomial logistic regression-based feature selection for hyperspectral data

Mahesh Pal, M. Pal, 2012, Int. J. Appl. Earth Obs. Geoinformation.

Comparison of Polynomial and Radial Basis Kernel Functions based SVR and MLR in Modeling Mass Transfer by Vertical and Inclined Multiple Plunging Jets

M. Pal, S. Deswal, 2015 .

Multi-Linear Regression Based Prediction of Mass Transfer by Multiple Plunging Jets

M. Pal, S. Deswal, 2014 .

Multiple Plunging Jet Aeration System AndParameter Modelling By Neural Network AndSupport Vector Machines

M. Pal, S. Deswal, D. Verma, 2006 .

Cloud Detection using Sentinel 2 Imageries: A comparison of XGBoost, RF, SVM and CNN algorithms

M. Pal, M. Biswas, Rohit Singh, 2022, Geocarto International.

Discussion of “Application of Support Vector Machines in Assessing Conceptual Cost Estimates” by Sung-Hoon An, U-Yeol Park, Kyung-In Kang, Moon-Young Cho, and Hun-Hee Cho

Mahesh Pal, V. K. Bansal, V. K. Bansal, 2008 .

Performance evaluation of artificial neural network approaches in forecasting reservoir inflow

Mahesh Pal, M. Taghi Sattari, Kadri Yurekli, 2012 .

M 5 model trees and neural network based modelling of ET 0 in Ankara , Turkey

M. Pal, M. Sattari, K. Yürekli, 2013 .

Effect of Search Methods on Feature Selection with Hyperspectral Data

Yogender, Mahesh Pal, M. Pal, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

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

Timothy A. Warner, Mahesh Pal, Aaron E. Maxwell, 2013 .

Application of support vector machines in scour prediction on grade-control structures

Mahesh Pal, Arun Goel, M. Pal, 2009, Eng. Appl. Artif. Intell..

Margin-based feature selection for hyperspectral data

Mahesh Pal, M. Pal, 2009, Int. J. Appl. Earth Obs. Geoinformation.

Artificial Neural Network based Modeling of Evaporation Losses in Reservoirs

Mahesh Pal, Surinder Deswal, M. Pal, 2008 .

STAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES

A Goel, M Pal, M. Pal, 2011 .

M5 model tree for pier scour prediction using field dataset

N. K. Tiwari, M. Pal, N. K. Singh, 2012, KSCE Journal of Civil Engineering.

M5 model tree based predictive modeling of road accidents on non-urban sections of highways in India.

Mahesh Pal, Gyanendra Singh, S N Sachdeva, 2016, Accident; analysis and prevention.

Deep neural network-based predictive modeling of road accidents

Gyanendra Singh, Mahesh Pal, Yogender Yadav, 2020, Neural Computing and Applications.

Support vector machine model for prediction of accidents on non-urban sections of highways

Mahesh Pal, Gyanendra Singh, S. N. Sachdeva, 2018, Proceedings of the Institution of Civil Engineers - Transport.

Kernel methods for pier scour modeling using field data

Mahesh Pal, N. K. Tiwari, N. K. Singh, 2014 .

The use of InSAR texture features in land use classification.

T. Benes, M. Pal, P. M. Mather, 2003 .