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Mahesh Pal
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2020 – today
- 2023
- [j12]Achala Shakya
, Mantosh Biswas, Mahesh Pal
:
Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients. Remote. Sens. 15(1): 274 (2023) - 2021
- [c5]Yogender, Mahesh Pal:
Effect of Search Methods on Feature Selection with Hyperspectral Data. IGARSS 2021: 3408-3411 - [i8]Achala Shakya, Mantosh Biswas, Mahesh Pal:
SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP. CoRR abs/2101.08215 (2021) - 2020
- [j11]Gyanendra Singh
, Mahesh Pal
, Yogender Yadav, Tushar Singla:
Deep neural network-based predictive modeling of road accidents. Neural Comput. Appl. 32(16): 12417-12426 (2020) - [c4]Mahesh Pal, Akshay, Himanshu Rohilla, B. Charan Teja:
Patch Based Land Cover Classification: A Comparison of Deep Learning, SVM and NN Classifiers. IGARSS 2020: 1933-1936 - [i7]Mahesh Pal, Akshay, Himanshu Rohilla, B. Charan Teja:
Patch Based Classification of Remote Sensing Data: A Comparison of 2D-CNN, SVM and NN Classifiers. CoRR abs/2006.11767 (2020)
2010 – 2019
- 2019
- [i6]Mahesh Pal:
Deep neural network for pier scour prediction. CoRR abs/1910.03804 (2019) - 2018
- [j10]Dinesh Kumar
, Pankaj Chandna, Mahesh Pal
:
Efficient optimization of process parameters in 2.5 D end milling using neural network and genetic algorithm. Int. J. Syst. Assur. Eng. Manag. 9(5): 1198-1205 (2018) - 2016
- [j9]Giles M. Foody
, Mahesh Pal
, Duccio Rocchini
, Carol X. Garzon-Lopez
, Lucy Bastin
:
The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data. ISPRS Int. J. Geo Inf. 5(11): 199 (2016) - 2013
- [j8]V. K. Bansal, Mahesh Pal:
Quantity Takeoffs and Detailed Buildings Cost Estimation Using Geographic Information Systems. Int. J. Inf. Technol. Proj. Manag. 4(3): 66-80 (2013) - 2012
- [j7]Mahesh Pal
:
Multinomial logistic regression-based feature selection for hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 14(1): 214-220 (2012) - [j6]Mahesh Pal
, Giles M. Foody
:
Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(5): 1344-1355 (2012) - 2011
- [j5]Mahesh Pal
, N. K. Singh, N. K. Tiwari
:
Support vector regression based modeling of pier scour using field data. Eng. Appl. Artif. Intell. 24(5): 911-916 (2011) - [i5]Mahesh Pal:
Support vector machines/relevance vector machine for remote sensing classification: A review. CoRR abs/1101.2987 (2011) - 2010
- [j4]Mahesh Pal
, Giles M. Foody
:
Feature Selection for Classification of Hyperspectral Data by SVM. IEEE Trans. Geosci. Remote. Sens. 48(5): 2297-2307 (2010)
2000 – 2009
- 2009
- [j3]Mahesh Pal
:
Margin-based feature selection for hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 11(3): 212-220 (2009) - [j2]Arun Goel, Mahesh Pal
:
Application of support vector machines in scour prediction on grade-control structures. Eng. Appl. Artif. Intell. 22(2): 216-223 (2009) - 2008
- [i4]Mahesh Pal:
Extreme Learning Machine for land cover classification. CoRR abs/0802.1412 (2008) - [i3]Mahesh Pal, Paul M. Mather:
Support Vector classifiers for Land Cover Classification. CoRR abs/0802.2138 (2008) - [i2]Mahesh Pal:
Multiclass Approaches for Support Vector Machine Based Land Cover Classification. CoRR abs/0802.2411 (2008) - [i1]V. K. Bansal, Mahesh Pal:
Geographic Information Systems in Evaluation and Visualization of Construction Schedule. CoRR abs/0803.3515 (2008) - 2004
- [j1]Mahesh Pal
, Paul M. Mather:
Assessment of the effectiveness of support vector machines for hyperspectral data. Future Gener. Comput. Syst. 20(7): 1215-1225 (2004) - 2003
- [c3]Mahesh Pal:
Random forests for land cover classification. IGARSS 2003: 3510-3512 - [c2]Mahesh Pal:
Improving the Accuracy of Remote Sensing Classifications. IICAI 2003: 284-294 - 2002
- [c1]Mahesh Pal, Paul M. Mather:
A comparison of decision tree and backpropagation neural network classifiers for land use classification. IGARSS 2002: 503-505
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