S. Maiti

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Short term memory efficient pore pressure prediction via Bayesian neural networks at Bering Sea slope of IODP expedition 323

Saumen Maiti, Mampi Karmakar, Mampi Karmakar, 2019, Measurement.

Interpretation of Gravity Anomaly Over Symmetric Sedimentary Basin using the Walsh Transform

R. K. Tiwari, S. Maiti, 2004 .

Neural network modelling and classification of lithofacies using well log data: A case study from KTB borehole site

Saumen Maiti, R. K. Tiwari, Hans-Joachim Kümpel, 2007 .

Groundwater quality prediction using Bayesian automatic relevance determination modeling

Anasuya Das, S. Maiti, 2017 .

Application of automatic relevance determination model for groundwater quality index prediction by combining hydro-geochemical and geo-electrical data

Rhythm R. Shah, Anasuya Das, S. Maiti, 2017, Modeling Earth Systems and Environment.

Estimation of spatial variability of aquifer parameters from geophysical methods: a case study of Sindhudurg district, Maharashtra, India

Anasuya Das, S. Naidu, S. Maiti, 2017, Stochastic Environmental Research and Risk Assessment.

A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction

Saumen Maiti, R. K. Tiwari, S. Maiti, 2014, Environmental Earth Sciences.

Delineation of shallow resistivity structure around Malvan, Konkan region, Maharashtra by neural network inversion using vertical electrical sounding measurements

R. K. Tiwari, V. C. Erram, S. Maiti, 2013, Environmental Earth Sciences.

Modelling discontinuous well log signal to identify lithological boundaries via wavelet analysis: An example from KTB borehole data

R. K. Tiwari, S. Maiti, Amrita Singh, 2016, Journal of Earth System Science.

Geoelectrical investigation for potential groundwater zones in parts of Ratnagiri and Kolhapur districts, Maharashtra

V. C. Erram, S. Maiti, G. Gupta, 2015 .

Mapping of basement structure beneath the Kohima Synclinorium, north-east India via Bouguer gravity data modelling

R. K. Tiwari, S. Maiti, C. Ravi Kumar, 2020, Journal of Earth System Science.

Enhancing the prediction of hydraulic parameters using machine learning, integrating multiple attributes of GIS and geophysics

S. Maiti, P. Gupta, 2022, Hydrogeology Journal.

Novel Efficient Method for Automatic Inversion of Vertical Electrical Sounding Data: Case Study from Sindhudurg District, Maharashtra, India

S. Maiti, P. Gupta, 2023, Pure and Applied Geophysics.

Predicting Resource Potential of Hydrocarbon in the Gulf of Cambay, West Coast of India, by Integrating Rock Physics and Multi-attribute Linear Regression Transform

S. Maiti, Ranjana Ghosh, M. Ojha, 2022, Natural Resources Research.

A Hybrid Monte Carlo Method Based Artificial Neural Networks Approach for Rock Boundaries Identification: A Case Study from the KTB Bore Hole

R. K. Tiwari, Saumen Maiti, R. K. Tiwari, 2009 .

Enhancing data-driven modeling of fluoride concentration using new data mining algorithms

S. Maiti, P. Gupta, 2022, Environmental Earth Sciences.

Analysis of electrical resistivity data in resolving the saline and freshwater aquifers in west coast Maharashtra

V. C. Erram, S. Maiti, G. Gupta, 2014, Journal of the Geological Society of India.

Stacked autoencoders based machine learning for noise reduction and signal reconstruction in geophysical data

Debjani Bhowick, Deepak K. Gupta, Saumen Maiti, 2019, 1907.03278.

High density crustal intrusive bodies beneath Shillong plateau and Indo Burmese Range of northeast India revealed by gravity modeling and earthquake data

Ravi Kumar Ch, S. Maiti, A. S. Raj, 2020 .

Integrated Geoelectrical and Hydrochemical Investigation of Shallow Aquifers in Konkan Coastal Area, Maharashtra, India: Advanced Artificial Neural Networks Based Simulation Approach

S. Maiti, G. Gupta, 2020 .

Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networks

R. K. Tiwari, V. C. Erram, S. Maiti, 2013, Environmental Monitoring and Assessment.

ANN based inversion of DC resistivity data for groundwater exploration in hard rock terrain of western Maharashtra (India)

R. K. Tiwari, V. C. Erram, S. Maiti, 2012 .

Direct Current VES Data Inversion using Singular Value Decomposition Method for Delineating Seawater Intrusion in parts of Konkan, Western Maharashtra

Surjya K. Pal, V. C. Erram, S. Maiti, 2012 .

Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach

R. K. Tiwari, V. C. Erram, S. Maiti, 2011 .

Nonlinear Processes in Geophysics Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach

R. K. Tiwari, S. Maiti, G. Gupta, 2011 .

Automatic detection of lithologic boundaries using the Walsh transform: A case study from the KTB borehole

Saumen Maiti, R. K. Tiwari, R. K. Tiwari, 2005, Comput. Geosci..

Electrical resistivity imaging for aquifer mapping over Chikotra basin, Kolhapur district, Maharashtra

Gautam Gupta, Saumen Maiti, V. C. Erram, 2015, Environmental Earth Sciences.

Inversion of Schlumberger Vertical Electrical Sounding Data using Hybrid Monte Carlo Based Bayesian Neural Network Approach

R. K. Tiwari, V. C. Erram, S. Maiti, 2012 .

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

Saumen Maiti, Amrita Singh, Mampi Karmakar, 2018, Marine Geophysical Research.

Geoelectrical studies for delineating seawater intrusion in parts of Konkan coast, Western Maharashtra.

V. C. Erram, S. Maiti, G. Gupta, 2010 .

Statistical machine learning augmented interpretation of pore pressure of well 1344A located at slope setting of sites IODP 323

Mampi Karmakar, S. Maiti, 2023, Journal of Earth System Science.

Bayesian neural network modeling of tree-ring temperature variability record from the Western Himalayas

Saumen Maiti, R. K. Tiwari, R. K. Tiwari, 2011 .

Velocity-Porosity Supermodel: A Deep Neural Networks based concept pdf

Deepak K. Gupta, Saumen Maiti, Uma Shankar, 2018, ArXiv.

Sediment classification using neural networks: An example from the site-U1344A of IODP Expedition 323 in the Bering Sea

S. Maiti, M. Ojha, 2016 .

Neural network modeling and an uncertainty analysis in Bayesian framework: A case study from the KTB borehole site

Saumen Maiti, R. K. Tiwari, S. Maiti, 2010 .

Comparison between self‐organizing map and principal component analysis for water quality assessment and hydro‐geochemical characterization in dyke intruded complex geological settings

S. Maiti, Surabhi Gupta, 2023, Water and Environment Journal.

Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach

S. Maiti, P. Sarkar, U. Srinu, 2019, Neural Computing and Applications.

Automatic discriminations among geophysical signals via the Bayesian neural networks approach

R. K. Tiwari, Saumen Maiti, R. K. Tiwari, 2010 .