Environmental Engineering Reference
In-Depth Information
[77] Duda RO, Hart PE, Stork DG (2000) Pattern Classification. 2nd Edition, Wiley-Interscience,
New York
[78] Tessier J (2006) Determination de la composition de l'alimentation des circuits de broy-
age par analyse d'images multivariees. MSc thesis, Department of Chemical Engineering,
Universit´eLaval,Quebec, Quebec, Canada
[79] Napier-Munn T, Morrell S, Morrison R, Kojovic T (1996) Mineral comminution circuits:
their operation and optimisation. JKMRC monograph, The University of Queensland, Bris-
bane
[80] Maerz NH (2001) Automated online optical sizing analysis. In: Proceedings of the Third
International Conference on Autogeneous and Semiautogeneous Grinding Technology
(SAG'01), Vancouver, Canada, September 30-October 3 2:250-269
[81] Guyot O, Monredon T, LaRosa D, Broussaud A (2004) VisioRock, an integrated vision
technology for advanced control of comminution circuits. Miner Eng 17:1227-1235
[82] Simkus R, Dance A (1998) Tracking hardness and size: measuring and monitoring ROM ore
properties at Highland Valley Copper. In: Proceedings of the Mine to Mill 1998, Brisbane,
Australia, October 11-14
[83] Herbst JA, Pate WT (1999) Object components for comminution system softsensor design.
Powder Technol 105:424-429
[84] Schroder AJ (2000) Towards automated control of milling operations. In: IIR Conference-
Crushing and Grinding Technologies for Mineral Extraction. Perth, Australia, 18/19 May
2000
[85] Singh V, Mohan Rao S (2005) Application of image processing and radial basis neural net-
work techniques for ore sorting and ore classification. Miner Eng 18:1412-1420
[86] Petersen KRP, Aldrich C, Van Deventer JSJ (1998) Analysis of ore particles based on textural
pattern recognition. Miner Eng 11:959-977
[87] Casali A, Gonzalez G, Vallebuona G, Perez C, Vargas R (2001) Grindability soft-sensor
based on lithological composition and on-line measurements. Miner Eng 14:689-700
[88] Lepist o L, Kunttu I, Visa A (2005) Color-based classification of natural rock images using
classifier combinations. In: Proceedings of the SCIA 2005, Joensuu, Finland, June 19-22
2005, 901-909
[89] Paclik P, Verzakov S, Duin RPW (2005) Improving the maximum-likelihood co-occurrence
classifier: a study on classification of inhomogeneous rock images. In: Proceedings of the
SCIA 2005, Joensuu, Finland, June 19-22 2005 998-1088
[90] Murtagh F, Qiao X, Crookes D, Walsh P, Muhammed Basheer PA, Long A, Starck JL
(2005) A machine vision approach to the grading of crushed aggregate. Machine Vision
Appl 16:229-235
[91]
Van de Wouwer G, Scheunders P, Van Dyck D (1999) Statistical Texture Characterization
from Discrete Wavelet Representations. IEEE T Image Process 8:592-598
[92]
Haykin S (1999) Neural Networks - A Comprehensive Foundation. 2nd Edition, Prentice-
Hall
[93]
Sch olkpof B, Smola AJ (2002) Learning with Kernels: Support Vector Machines, Regular-
ization, Optimization, and Beyond. The MIT Press, Cambridge, MA
[94]
Jemwa GT, Aldrich C (2006) Kernel-based fault diagnosis on mineral processing plants.
Miner Eng 19:1149-1162
[95]
Esbensen KH, Edwards G, Eldridge NR (1993) Multivariate image analysis in forestry ap-
plications involving high resolution airborne imagery. In: 8th Scandinavian Conference on
Image Analysis, NOBIM, Tromsø, 953-963
[96]
Liu JJ, MacGregor JF (2005) Modeling and optimization of product appearance: application
to injection-molded plastic panels. Ind Eng Chem Res 44:4687-4696
[97]
Gosselin R, Rodrigue D, Duchesne C (2008) On-line prediction of crystallinity spatial dis-
tribution across polymer films using NIR spectral imaging and chemometrics methods. Can
J Chem Eng 86:869-878
[98]
Bruwer MJ, MacGregor JF, Noseworthy MD (2007) Dynamic contrast-enhanced MRI diag-
nostics in oncology via principal component analysis. J Chemom 22:708-716
Search WWH ::




Custom Search