http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2006016942-A1

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d622a0608e3aeef107d6d1c53e172695
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_27ede7313a86ff11c8446a7b344aff15
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01V99-00
filingDate 2005-05-31-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_71dd31cdb42fad5f0851d0940111b6fc
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publicationDate 2006-02-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2006016942-A1
titleOfInvention Predicting sand-grain composition and sand texture
abstract A method and apparatus for predicting sand-grain composition and sand texture are disclosed. A first set of system variables associated with sand-grain composition and sand texture is selected (605). A second set of system variables directly or indirectly causally related to the first set of variables is also selected (610). Data for each variable in the second set is estimated or obtained (615). A network with nodes including both sets of variables is formed (625). The network has a directional links connecting interdependent nodes. The directional links honor known causality relationships. A Bayesian network algorithm is used (630) with the data to solve the network for the first set of variables and their associated uncertainties.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2010082969-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-8838428-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2010175886-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-8972233-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106066493-A
priorityDate 2004-07-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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Total number of triples: 22.