Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India S Chattopadhyay
Acta Geophysica 55, 369-382, 2007
141 2007 Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone G Bandyopadhyay, S Chattopadhyay
International Journal of Environmental Science & Technology 4, 141-149, 2007
140 2007 Univariate modelling of summer-monsoon rainfall time series: comparison between ARIMA and ARNN S Chattopadhyay, G Chattopadhyay
Comptes Rendus Geoscience 342 (2), 100-107, 2010
125 2010 On the bias correction of general circulation model output for Indian summer monsoon N Acharya, S Chattopadhyay, UC Mohanty, SK Dash, LN Sahoo
Meteorological Applications 20 (3), 349-356, 2013
100 2013 Identification of trends in rainfall, rainy days and 24 h maximum rainfall over subtropical Assam in Northeast India D Jhajharia, BK Yadav, S Maske, S Chattopadhyay, AK Kar
Comptes Rendus Geoscience 344 (1), 1-13, 2012
99 2012 Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule–Walker equation based approach S Chattopadhyay, D Jhajharia, G Chattopadhyay
Meteorological Applications 18 (1), 70-82, 2011
81 2011 Reconstruction of f (G) gravity with the new agegraphic dark-energy model A Jawad, S Chattopadhyay, A Pasqua
The European Physical Journal Plus 128, 1-7, 2013
80 2013 Correspondence between f (G ) gravity and holographic dark energy via power-law solution A Jawad, A Pasqua, S Chattopadhyay
Astrophysics and Space Science 344 (2), 489-494, 2013
77 2013 Emergent universe in the chameleon, f (R) and f (T) gravity theories S Chattopadhyay, U Debnath
International Journal of Modern Physics D 20 (06), 1135-1152, 2011
72 2011 Pilgrim dark energy in f (T ,T G ) cosmology S Chattopadhyay, A Jawad, D Momeni, R Myrzakulov
Astrophysics and Space Science 353, 279-292, 2014
71 2014 Reconstruction of f (T ) gravity from the Holographic Dark Energy S Chattopadhyay, A Pasqua
Astrophysics and Space Science 344, 269-274, 2013
69 2013 Mann–Kendall trend analysis of tropospheric ozone and its modeling using ARIMA G Chattopadhyay, P Chakraborthy, S Chattopadhyay
Theoretical and Applied Climatology 110, 321-328, 2012
66 2012 Artificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa, Switzerland S Chattopadhyay, G Bandyopadhyay
International Journal of Remote Sensing 28 (20), 4471-4482, 2007
66 2007 Comparative study among different neural net learning algorithms applied to rainfall time series S Chattopadhyay, G Chattopadhyay
Meteorological Applications: A journal of forecasting, practical …, 2008
62 2008 Identification of the best hidden layer size for three-layered neural net in predicting monsoon rainfall in India S Chattopadhyay, G Chattopadhyay
Journal of Hydroinformatics 10 (2), 181-188, 2008
59 2008 New holographic reconstruction of scalar-field dark-energy models in the framework of chameleon Brans–Dicke cosmology S Chattopadhyay, A Pasqua, M Khurshudyan
The European Physical Journal C 74, 1-13, 2014
54 2014 A reconstruction of modified holographic Ricci dark energy in f (R , T ) gravity A Pasqua, S Chattopadhyay, I Khomenko
Canadian Journal of Physics 91 (8), 632-638, 2013
51 2013 Fractional action cosmology: emergent, logamediate, intermediate, power law scenarios of the universe and generalized second law of thermodynamics U Debnath, M Jamil, S Chattopadhyay
International Journal of Theoretical Physics 51, 812-837, 2012
51 2012 Autoregressive forecast of monthly total ozone concentration: A neurocomputing approach G Chattopadhyay, S Chattopadhyay
Computers & Geosciences 35 (9), 1925-1932, 2009
51 2009 Holographic dark energy reconstruction in IG Salako, A Jawad, S Chattopadhyay
Astrophysics and Space Science 358, 1-9, 2015
48 2015 