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A systematic method for mapping customer requirements to quality characteristics in product lifecycle : Process modelling and simulation for product design and realisationWANG, M-Q; MA, Y-S.International journal of simulation & process modelling (Print). 2007, Vol 3, Num 4, pp 229-237, issn 1740-2123, 9 p.Article

Psoriasis susceptibility locus on 18p revealed by genome scan in finnish families not associated with PSORS1ASUMALAHTI, Kati; LAITINEN, Tarja; UURASMAA, Tutta et al.Journal of investigative dermatology. 2003, Vol 121, Num 4, pp 735-740, issn 0022-202X, 6 p.Article

Remote sensing application in geomorphologyRAO, D. P.Tropical ecology. 2002, Vol 43, Num 1, pp 49-59, issn 0564-3295, 11 p.Article

Simulation of Optical Remote-Sensing Scenes With Application to the EnMAP Hyperspectral MissionGUANTER, Luis; SEGL, Karl; KAUFMANN, Hermann et al.IEEE transactions on geoscience and remote sensing. 2009, Vol 47, Num 7, pp 2340-2351, issn 0196-2892, 12 p., 2Article

Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy ModelsKUESTER, Theres; SPENGLER, Daniel; BARCZI, Jean-François et al.IEEE transactions on geoscience and remote sensing. 2014, Vol 52, Num 4, pp 2096-2108, issn 0196-2892, 13 p.Article

Comparative radiation hybrid map of canine chromosome 1 incorporating SNP and indel polymorphismsHOUSLEY, Donna J. E; RITZERT, Elizabeth; VENTA, Patrick J et al.Genomics (San Diego, Calif.). 2004, Vol 84, Num 2, pp 248-264, issn 0888-7543, 17 p.Article

Simulation of Spatial Sensor Characteristics in the Context of the EnMAP Hyperspectral MissionSEGL, Karl; GUANTER, Luis; KAUFMANN, Hermann et al.IEEE transactions on geoscience and remote sensing. 2010, Vol 48, Num 7, pp 3046-3054, issn 0196-2892, 9 p.Article

Simulating regional-scale ozone climatology over the eastern United States: model evaluation resultsHOGREFE, C; BISWAS, J; LYNN, B et al.Atmospheric environment (1994). 2004, Vol 38, Num 17, pp 2627-2638, issn 1352-2310, 12 p.Article

Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data setsASTEL, A; TSAKOVSKI, S; BARBIERI, P et al.Water research (Oxford). 2007, Vol 41, Num 19, pp 4566-4578, issn 0043-1354, 13 p.Article

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