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Publisher: Taylor and Francis Ltd

Volume 24, Number 1, January 2009

Editorial: The Kolkata Conference
pp. 1-1(1)
Authors: Chakraborti, N.; Datta, S.; Bandyopdhyay, N. R.; Sil, J.

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Analyzing Sparse Data for Nitride Spinels Using Data Mining, Neural Networks, and Multiobjective Genetic Algorithms
pp. 2-9(8)
Authors: Pettersson, Frank; Suh, Changwon; Saxen, Henrik; Rajan, Krishna; Chakraborti, Nirupam

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Strength of Ferritic Steels: Neural Networks and Genetic Programming
pp. 10-15(6)
Authors: Dimitriu, R. C.; Bhadeshia, H. K. D. H.; Fillon, C.; Poloni, C.

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Optimization of Neural Network for Charpy Toughness of Steel Welds
pp. 16-21(6)
Authors: Pak, Junhak; Jang, Jaehoon; Bhadeshia, H. K. D. H.; Karlsson, L.

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Multiobjective Optimization of Manganese Recovery from Sea Nodules Using Genetic Algorithms
pp. 22-30(9)
Authors: Biswas, Arijit; Chakraborti, N.; Sen, P. K.

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Designing the Multiphase Microstructure of Steel for Optimal TRIP Effect: A Multiobjective Genetic Algorithm Based Approach
pp. 31-37(7)
Authors: Ganguly, S.; Datta, S.; Chattopadhyay, P. P.; Chakraborti, N.

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Domains of Steels with Identical Properties
pp. 53-58(6)
Authors: Joo, Minsung; Ryu, Joohyun; Bhadeshia, H. K. D. H.

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Exploring the Possibilities of Development of Directly Quenched TRIP-Aided Steel by the Artificial Neural Networks (ANN) Technique
pp. 68-77(10)
Authors: Das, K. P.; Ganguly, S.; Chattopadhyay, P. P.; Tarafder, S.; Bandyopadhyay, N. R.

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“Right-First-Time” Production: A Reality or a Myth?
pp. 78-82(5)
Authors: Mahfouf, Mahdi; Gama, Miguel Angel; Panoutsos, George

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Artificial Neural Network (ANN)-Based Model for In Situ Prediction of Porosity of Nanostructured Porous Silicon
pp. 83-87(5)
Authors: Ray, M.; Ganguly, S.; Das, M.; Datta, S.; Bandyopadhyay, N. R.; Hossain, S. M.

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Composition-Processing-Property Correlation of Cold-Rolled IF Steel Sheets Using Neural Network
pp. 100-105(6)
Authors: Mohanty*, I.; Datta, S.; Bhattacharjee, D.

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