| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a0b371f41c608003ff7e540f39d9b59b |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6202
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01T1-2018
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01T3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01T3-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-0454
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H01L27-14659
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H01L27-14658
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H01L27-14676
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6256
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H01L27-14661
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N23-025
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-39
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6212
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-005
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N7-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N23-222 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-39
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01T3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N23-222
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H01L27-146
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N7-00 |
| filingDate |
2018-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2020-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b2f98acab3bed4f6084483dc5ec0c43f |
| publicationDate |
2020-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10802164-B2 |
| titleOfInvention |
Method and apparatus for performing pattern recognition for a tunable sensor system to detect neutron and gamma particles |
| abstract |
A computer implemented method of detecting neutrons in images from a tunable sensor system comprises training a deep learning process to recognize known radiation-dependent signature patterns created by neutrons in test images. The method further comprises splitting an input image into a plurality of frames and passing the plurality of frames through the deep learning process in order to recognize neutrons in the plurality of frames. Subsequently, the method comprises recombining the plurality of frames back into the input image. For each pixel within the input image, the method comprises examining pixels connected to a respective pixel to determine if a signature pattern particular to neutrons is present within the input image and counting a number of neutrons within the input image using results from the examining. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022252743-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10969504-B2 |
| priorityDate |
2018-02-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |