| A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction S Maiti, RK Tiwari Environmental earth sciences 71, 3147-3160, 2014 | 128 | 2014 |
| Neural network modelling and classification of lithofacies using well log data: A case study from KTB borehole site S Maiti, R Krishna Tiwari, HJ Kümpel Geophysical Journal International 169 (2), 733-746, 2007 | 106 | 2007 |
| ANN based inversion of DC resistivity data for groundwater exploration in hard rock terrain of western Maharashtra (India) S Maiti, VC Erram, G Gupta, RK Tiwari Journal of Hydrology 464, 294-308, 2012 | 65 | 2012 |
| Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach S Maiti, G Gupta, VC Erram, RK Tiwari Nonlinear Processes in Geophysics 18, 179-192, 2011 | 58 | 2011 |
| Neural network modeling and an uncertainty analysis in Bayesian framework: A case study from the KTB borehole site S Maiti, RK Tiwari Journal of Geophysical Research: Solid Earth 115 (B10), 2010 | 58 | 2010 |
| Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networks S Maiti, VC Erram, G Gupta, RK Tiwari, UD Kulkarni, RR Sangpal Environmental monitoring and assessment 185, 3445-3465, 2013 | 51 | 2013 |
| Automatic detection of lithologic boundaries using the Walsh transform: A case study from the KTB borehole S Maiti, RK Tiwari Computers & geosciences 31 (8), 949-955, 2005 | 48 | 2005 |
| Delineation of shallow resistivity structure around Malvan, Konkan region, Maharashtra by neural network inversion using vertical electrical sounding measurements S Maiti, G Gupta, VC Erram, RK Tiwari Environmental earth sciences 68, 779-794, 2013 | 47 | 2013 |
| A hybrid Monte Carlo method based artificial neural networks approach for rock boundaries identification: A case study from the KTB bore hole S Maiti, RK Tiwari Pure and Applied Geophysics 166 (12), 2059-2090, 2009 | 47 | 2009 |
| Automatic discriminations among geophysical signals via the Bayesian neural networks approach S Maiti, RK Tiwari Geophysics 75 (1), E67-E78, 2010 | 40 | 2010 |
| Sediment classification using neural networks: an example from the site-U1344A of IODP Expedition 323 in the Bering Sea M Ojha, S Maiti Deep Sea Research Part II: Topical Studies in Oceanography 125, 202-213, 2016 | 32 | 2016 |
| Short Term Memory Efficient Pore Pressure Prediction via Bayesian Neural Networks at Bering Sea Slope of IODP Expedition 323 M Karmakar, S Maiti Measurement 135, 852-868, 2019 | 29 | 2019 |
| Analysis of electrical resistivity data in resolving the saline and freshwater aquifers in west coast Maharashtra G Gupta, S Maiti, VC Erram Journal of the Geological Society of India 84, 555-568, 2014 | 28 | 2014 |
| Electrical resistivity imaging for aquifer mapping over Chikotra basin, Kolhapur district, Maharashtra G Gupta, JD Patil, S Maiti, VC Erram, NJ Pawar, SH Mahajan, ... Environmental Earth Sciences 73 (12), 8125–8143, 2015 | 27 | 2015 |
| Estimation of spatial variability of aquifer parameters from geophysical methods: a case study of Sindhudurg district, Maharashtra, India A Das, S Maiti, S Naidu, G Gupta Stochastic Environmental Research and Risk Assessment 31, 1709-1726, 2017 | 21 | 2017 |
| Bayesian neural network modeling of tree-ring temperature variability record from the Western Himalayas RK Tiwari, S Maiti Nonlin. Processes Geophys 18, 515-528, 2011 | 20 | 2011 |
| Geoelectrical studies for delineating seawater intrusion in parts of Konkan coast, Western Maharashtra Gupta, G., Erram, V. C. Maiti, S., Kachate, N. R International Journal of Environment and Earth Sciences, 1, 62-79, 2010 | 19* | 2010 |
| Mapping of rock types using a joint approach by combining the multivariate statistics, self-organizing map and Bayesian neural networks: an example from IODP 323 site M Karmakar, S Maiti, A Singh, M Ojha, BS Maity Marine Geophysical Research 39 (3), 407–419, 2018 | 17 | 2018 |
| Stacked autoencoders based machine learning for noise reduction and signal reconstruction in geophysical data D Bhowick, DK Gupta, S Maiti, U Shankar arXiv preprint arXiv:1907.03278, 2019 | 15 | 2019 |
| High density crustal intrusive bodies beneath Shillong plateau and Indo Burmese Range of northeast India revealed by gravity modeling and earthquake data. Ch. Ravi Kumar, Raj, S., Pathak, B., Maiti, S., and Kasturi, N. Physics of the Earth and Planetary Interior 307, 106555, 2020 | 12 | 2020 |
Ram Krishna TiwariChief Scientist(Rtd), CSIR - NGRIVerified email at ngri.res.in
