Snehamoy Chatterjee
Snehamoy Chatterjee
Associate Professor of Geological and Mining Engineering and Sciences, Witte Family Endowed Faculty
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Cited by
Cited by
Computer vision-based limestone rock-type classification using probabilistic neural network
AK Patel, S Chatterjee
Geoscience Frontiers 7 (1), 53-60, 2016
Vision-based rock-type classification of limestone using multi-class support vector machine
S Chatterjee
Applied intelligence 39, 14-27, 2013
Determinants of work injuries in mines–an application of structural equation modelling
J Maiti, S Chatterjee, SI Bangdiwala
Injury control and safety promotion 11 (1), 29-37, 2004
Reliability estimation using a genetic algorithm-based artificial neural network: An application to a load-haul-dump machine
S Chatterjee, S Bandopadhyay
Expert Systems with Applications 39 (12), 10943-10951, 2012
Image-based quality monitoring system of limestone ore grades
S Chatterjee, A Bhattacherjee, B Samanta, SK Pal
Computers in Industry 61 (5), 391-408, 2010
Genetic algorithms for feature selection of image analysis-based quality monitoring model: An application to an iron mine
S Chatterjee, A Bhattacherjee
Engineering applications of artificial intelligence 24 (5), 786-795, 2011
Ore grade prediction using a genetic algorithm and clustering based ensemble neural network model
S Chatterjee, S Bandopadhyay, D Machuca
Mathematical Geosciences 42, 309-326, 2010
Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite …
C Kumar, S Chatterjee, T Oommen, A Guha
International Journal of Applied Earth Observation and Geoinformation 86, 102006, 2020
Dimensional reduction of pattern-based simulation using wavelet analysis
S Chatterjee, R Dimitrakopoulos, H Mustapha
Mathematical Geosciences 44, 343-374, 2012
Production phase and ultimate pit limit design under commodity price uncertainty
S Chatterjee, MR Sethi, MWA Asad
European Journal of Operational Research 248 (2), 658-667, 2016
Open pit mine production schedule optimization using a hybrid of maximum-flow and genetic algorithms
A Paithankar, S Chatterjee
Applied Soft Computing 81, 105507, 2019
Development of machine vision-based ore classification model using support vector machine (SVM) algorithm
AK Patel, S Chatterjee, AK Gorai
Arabian Journal of Geosciences 10, 1-16, 2017
Multi-scale stochastic simulation with a wavelet-based approach
S Chatterjee, R Dimitrakopoulos
Computers & geosciences 45, 177-189, 2012
Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades
AK Patel, S Chatterjee, AK Gorai
Earth Science Informatics 12, 197-210, 2019
Grade and tonnage uncertainty analysis of an african copper deposit using multiple-point geostatistics and sequential gaussian simulation
A Paithankar, S Chatterjee
Natural Resources Research 27, 419-436, 2018
Ore grade estimation of a limestone deposit in India using an artificial neural network
S Chatterjee, A Bhattacherjee, B Samanta, SK Pal
Monash University, 2006
Ensemble support vector machine algorithm for reliability estimation of a mining machine
S Chatterjee, A Dash, S Bandopadhyay
Quality and Reliability Engineering International 31 (8), 1503-1516, 2015
Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation
A Paithankar, S Chatterjee, R Goodfellow, MWA Asad
Resources Policy 66, 101634, 2020
Mapping hydrothermal alteration minerals using high-resolution AVIRIS-NG hyperspectral data in the Hutti-Maski gold deposit area, India
C Kumar, S Chatterjee, T Oommen
International Journal of Remote Sensing 41 (2), 794-812, 2020
Suspended sediment yield estimation using genetic algorithm-based artificial intelligence models: case study of Mahanadi River, India
A Yadav, S Chatterjee, SM Equeenuddin
Hydrological Sciences Journal 63 (8), 1162-1182, 2018
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