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Mahesh Pal

Biographic Data

ID9471673
NAMEMahesh Pal
GIVEN NAMESMahesh
FAMILY NAMEPal
SIGNATUREPAL M
AFFILIATIONSJadavpur University
ORCID0000-0003-0012-7178
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1996
LATEST PUBLICATION YEAR2005
H-INDEX0
  • Random forest classifier for remote sensing classification

    Mahesh Pal•ARTICLE•International Journal of Remote…•2005

    Growing an ensemble of decision trees and allowing them to vote for the most popular class produced a significant increase in classification accuracy for land cover classification. The objective of this study is to present results obtained with the random forest classifier and to compare its performance with the support vector machines (SVMs) in terms of classification accuracy, training time and user defined parameters. Landsat Enhanced Thematic…

  • Studies on antitussive activity of Drymaria cordata Willd. (Caryophyllaceae)

    Open Access•Pulok Kumar Mukherjee, Kakali Saha et al.•ARTICLE•Journal of Ethnopharmacology•1997

  • Studies on psychopharmacological effects of Nelumbo nucifera Gaertn. rhizome extract

    Open Access•Pulok Kumar Mukherjee, Kakali Saha et al.•ARTICLE•Journal of Ethnopharmacology•1996

No prominent works on this page.

  • Studies on psychopharmacological effects of Nelumbo nucifera Gaertn. rhizome extract

    Open Access•Pulok Kumar Mukherjee, Kakali Saha et al.•ARTICLE•Journal of Ethnopharmacology•1996

  • Studies on antitussive activity of Drymaria cordata Willd. (Caryophyllaceae)

    Open Access•Pulok Kumar Mukherjee, Kakali Saha et al.•ARTICLE•Journal of Ethnopharmacology•1997

  • Random forest classifier for remote sensing classification

    Mahesh Pal•ARTICLE•International Journal of Remote…•2005

    Growing an ensemble of decision trees and allowing them to vote for the most popular class produced a significant increase in classification accuracy for land cover classification. The objective of this study is to present results obtained with the random forest classifier and to compare its performance with the support vector machines (SVMs) in terms of classification accuracy, training time and user defined parameters. Landsat Enhanced Thematic…

Biochemistry (2 works) · Biological activity (2 works) · Biology (2 works) · Botany (2 works) · Chemistry (2 works) · In vitro (2 works) · Medicine (2 works) · Pharmacognosy (2 works) · Pharmacology (2 works) · Traditional medicine (2 works)

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