Journal Publications

Chatterjee S, Sethi M, Asad MWA (2016) Production phase and ultimate pit limit design under commodity price uncertainty, European Journal of Operational Research 248(2): 658–667. doi:10.1016/j.ejor.2015.07.012
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Karak S, Chatterjee S, Bandopadhyay S (2015) Mathematical Modelling of the Physical and Mechanical Properties of Nano-Y2O3 Dispersed Ferritic Alloys using Evolutionary Algorithm-based Neural Network, Powder Technology 274: 217-226.
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Chatterjee S, Mohanty MM (2015) Automatic cluster selection using gap statistics for pattern-based multi-point geostatistical simulation, Arabian Journal of Geosciences 8(9):7691-7704.
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Patel AK, Chatterjee S (2015) Computer vision-based limestone rock-type classification using probabilistic neural network, Geoscience Frontiers. doi:10.1016/j.gsf.2014.10.005
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Chatterjee S, Dimitrakopulos R, Mustafa H (2015) Fast wavelet-based conditional simulation using training images, Computational Geosciences. doi: 10.1007/s10596-015-9482-y
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Chatterjee S, Dash A, Bandopadhyay S (2014) Ensemble Support Vector Machine Algorithm for Reliability Estimation of a Mining Machine, Quality and Reliability Engineering International. (DOI: 10.1002/qre.1686)
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Mustafa H, Chatterjee S, Dimitrakopulos R (2014) CDFSIM: Efficient Stochastic Simulation Through Decomposition of Cumulative Distribution Functions of Transformed Spatial Patterns, Mathematical Geosciences, 46 (1): 95-123
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Chowdhury S, Chatterjee S (2013) Pit optimisation and life of mine scheduling for a tenement in central African copper belt, Journal of Mining, Reclamation, and Environment. DOI:10.1080/17480930.2013.811802
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Chatterjee S (2013) Development of a miners work Injury model using Bayesian structural equation model, Injury Control and Safety promotion. DOI:10.1080/17457300.2013.825629
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Chatterjee S, Bandopadhyay S (2013) An Ensemble of Geostatistical Simulated Realizations Using a Clustering Algorithm to Reproduce Model-Based Statistics: Case Study of a Gravel Reserve at Kivalina, Alaska, Marine Georesources and Geotechnology 31 (3): 225-241
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Chatterjee S, (2013) Vision-based rock-type classification of limestone using multi-class support vector machine, Applied Intelligence, DOI 10.1007/s10489-012-0391-7.
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Mustafa H, Chatterjee S, Dimitrakopulos R, Graf T (2013) Geologic heterogeneity recognition using discrete wavelet transformation for subsurface flow solute transport simulations, Advances in Water Resources 54 (April 2013): 22–37
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Chatterjee S, Bandopadhyay S (2012) Reliability estimation using a genetic algorithm-based artificial neural network: An application to a load-haul-dump machine, Expert Systems with Applications 39 (12):10943-10951.
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Chatterjee S, Dimitrakopulos R, Mustafa H (2012) Dimensional reduction of pattern-based simulation using wavelet analysis, Mathematical Geosciences 44:343-374
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Chatterjee S, Dimitrakopoulos R (2012) Multi-scale stochastic simulation with wavelet-based approach, Computer and Geosciences 45: 177-189.
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Chatterjee S, Bandopadhyay S (2011) Resource estimation of a placer gold deposit with uncertainty, applying the Bayesian neural network model, SME Transaction 330: 606-617.
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Chatterjee S, Bandopadhyay S (2011) Goodnews Bay Platinum Resource Estimation Using Least Squares Support Vector Regression with Selection of Input Space Dimension and Hyperparameters, Natural Resource Research 20 (2): 117-129
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Mustafa H, Dimitrakopulos R, Chatterjee S (2011) Geologic heterogeneity representation using high-order spatial cumulants for subsurface flow simulations, Water Resource Research 47: W08536, doi:10.1029/2010WR009515
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Chatterjee S, Bhattacherjee A (2011) Genetic Algorithms for feature selection of image analysis-based quality monitoring model: An application to an Iron mine, Engineering Applications of Artificial Intelligence 24 (5):786-795.
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Chatterjee S, Bhattacherjee A, Samanta B, Pal SK (2010) Image based quality monitoring system of limestone ore grade, Computers in Industry 61 (5): 391-408.
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Chatterjee S, Bandopadhyay S, Machuca D (2010) Ore grade prediction using genetic algorithm and clustering based ensemble neural network model, Mathematical Geosciences 42 (3): 309-326.
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Rai P, Chatterjee S, Bandopadhyay S (2009) Neural Network Based Selection of Design Parameters Governing the Shape and Powder Factor of the Blasted Muck piles – A Case Study, Mining Technology 118 (2)
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Chatterjee S, Bandopadhyay S, Rai P (2008) A genetic algorithm based neural network learning parameter selection approach for ore grade evaluation of a limestone deposit, Mining Technology 117 (4): 178-190
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Chatterjee S, Bhattacherjee A, Samanta B, Pal SK (2008) Rock type classification of an iron ore deposit using digital image analysis technique, International Journal of Mining and Mineral Engineering 1(1): 22-46
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Chatterjee S, Bandopadhyay S, Machuca D (2008) Ore waste classification of a lead zinc deposit using support vector machine, SME Transaction 34: 94-103
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Samanta B, Kumar A, Bhattacherjee A, Chatterjee S (2007) Open Pit Mine design in Presence of Uncertainty Due to Ore Grade Modeling, Mineral Resource Engineering 12(4): P 241-257.
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Chatterjee S, Bandopadhyay S (2007) Global neural network learning using genetic algorithm for ore grade prediction of iron ore deposit, Mineral Resource Engineering 12 (4)
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Chatterjee S, Bandopadhyay S, Ganguli R, Bhattacherjee A, Samanta B, Pal SK (2007) General regression neural network residual estimation for ore grade prediction of limestone deposit, Mining Technology 116 (3): 89-99.
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Chatterjee S, Bhattacherjee A, Samanta B, Pal SK (2006) Ore grade estimation of a limestone deposit in India using artificial neural network, Applied GIS 2 (1): 2.1-2.20.
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Maiti J, Chatterjee S, Bangdiwala S (2005) Determinants of work injuries in mines – an application of structural equation modelling, Injury Control and Safety Promotion 11 (1): 29-37.
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Conference Publications

Chatterjee S (2014) Stochastic Production Scheduling: Solution through Langrangian Relaxation with the Branch-and-cut Algorithm, Proceedings of the Conference on Orebody Modelling and Strategic Mine Planning 2014, Australia, Perth, 24 - 26 November 2014
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Mustafa H, Chatterjee S, Dimitrakopulos R (2014) Reservoir Modeling through Fast Wavelet-based Stochastic Simulation, Conference: ECMOR XIV - 14th European conference on the mathematics of oil recovery, DOI: 10.3997/2214-4609.20141810.
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Chatterjee S, Bandopadhyay S (2013) Dumper reliability analysis applying meta-heuristic based artificial neural network model: A case study from an Indian mine, Proceedings of the Conference on APCOM, Porto Alegre Brazil , November 3-8, 2013.
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Das A, Chatterjee S (2013) Reliability estimation of a mining machine using Ensemble support vector machine, Proceedings of the National Symposium, PTSM-2013, Varanasi, India, 25 - 27 February 2013.

Mustafa H, Dimitrakopulos R, Chatterjee S (2013) Reservoir Spatial Heterogeneity Modeling Through Pattern-Based Stochastic Simulation, ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery, At Biarritz, France
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Chatterjee S, Dimitrakopoulos R (2012) Pattern-based geostatistical simulation using discrete wavelet transformation, Ninth International Geostatistics Congress, Oslo, Norway June 11 – 15, 2012
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Chatterjee S (2011) Mine Production Scheduling using Minimum Cut and Lagrangian Relaxation with Post Processing Proceedings of the Conference on Technological Challenges and Management Issues for sustainability of Mining Industries, NIT Rourkela, 4-6 August, 2011

Chatterjee S, Bandopadhyay S (2011) Orebody Modeling with Uncertainties: A Bayesian Neural Network Approach, Proceedings of the Underground Metal Mining Conference, Puri, Orissa, 12-15 October, 2011

Chatterjee S (2011) Multi-point Geostatistical Algorithm for Simulating the Subsurface using Non-linear Mapping Function OMEGA -2011, Bhubaneswar, Orissa, 11-12 August, 2011

Chatterjee S, Lamghari A, Dimitrakopoulos R (2010) A two-phase heuristic method for constrained pushback design, 14th Int Conf Mining Innovation,23-25/07, Santiago, Gecamin 195-204.
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