13C NMR spectra of pentacyclic triterpenoids—a compilation and some salient features
SB Mahato, AP Kundu - Phytochemistry, 1994 - Elsevier
… Mahato , Asish P. Kundu … Chan WR, Sheppard V., Medford KA, Tinto WF, Reynolds WF,
McLean S. … Mahato SB, Pal BC, Sarkar SK …
McLean S. … Mahato SB, Pal BC, Sarkar SK …
[HTML][HTML] Land-use land-cover classification by machine learning classifiers for satellite observations—A review
… Furthermore, Karl Pearson’s coefficient of correlation technique was applied to understand
the … Hence, we need to justify the suitability of any one or two model(s) adopted here. …
the … Hence, we need to justify the suitability of any one or two model(s) adopted here. …
Advances in triterpenoid research, 1990–1994
SB Mahato, S Sen - Phytochemistry, 1997 - Elsevier
Triterpenoids isolated and characterized from various sources are reviewed. The newer
spectroscopic techniques used in their structure elucidation, the new skeleta characterized, their …
spectroscopic techniques used in their structure elucidation, the new skeleta characterized, their …
Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India
Amid the COVID-19 pandemic, a nationwide lockdown is imposed in India initially for three
weeks from 24th March to 14th April 2020 and extended up to 3rd May 2020. Due to the …
weeks from 24th March to 14th April 2020 and extended up to 3rd May 2020. Due to the …
[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models
ARMT Islam, S Talukdar, S Mahato, S Kundu… - Geoscience …, 2021 - Elsevier
… In this study, we have utilized the Pearson’s correlation coefficient and VIF for quantifying
the importance of twelve flood conditioning factors. The VIF >9 and very low correlation shows …
the importance of twelve flood conditioning factors. The VIF >9 and very low correlation shows …
[HTML][HTML] Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches
… We fixed the model’s parameters and applied on the rainfall of thirty-four meteorological
sub-divisions for prediction. In some cases, we changed some of models parameters for …
sub-divisions for prediction. In some cases, we changed some of models parameters for …
Advances in microbial steroid biotransformation
SB Mahato, S Garai - Steroids, 1997 - Elsevier
Microbial biotransformations of various steroids are reviewed. Developmental studies on
hydroxylation, carboncarbon bond cleavage, enzymatic catalysis in nonaqueous solvents, use …
hydroxylation, carboncarbon bond cleavage, enzymatic catalysis in nonaqueous solvents, use …
Transition metal oxides as hole-selective contacts in silicon heterojunctions solar cells
LG Gerling, S Mahato, A Morales-Vilches… - Solar Energy Materials …, 2016 - Elsevier
This work reports on a comparative study comprising three transition metal oxides, MoO 3 ,
WO 3 and V 2 O 5 , acting as front p-type contacts for n-type crystalline silicon heterojunction …
WO 3 and V 2 O 5 , acting as front p-type contacts for n-type crystalline silicon heterojunction …
Triterpenoid saponins
SB Mahato, SK Sarkar, G Poddar - Phytochemistry, 1988 - Elsevier
Triterpenoid saponins isolated from various sources are reviewed. The recent techniques
used in their isolation and structure elucidation are discussed. A compilation of the triterpenoid …
used in their isolation and structure elucidation are discussed. A compilation of the triterpenoid …
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
… The outstanding findings of the hybrid machine learning algorithms for several natural
hazard’s models inspire researchers to apply and develop the hybrid machine learning algorithms…
hazard’s models inspire researchers to apply and develop the hybrid machine learning algorithms…