Matches in Wikidata for { <http://www.wikidata.org/entity/Q64250231> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- Q64250231 description "article scientifique publié en 2019" @default.
- Q64250231 description "artículu científicu espublizáu n'abril de 2019" @default.
- Q64250231 description "im April 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q64250231 description "scientific article published on 16 April 2019" @default.
- Q64250231 description "wetenschappelijk artikel" @default.
- Q64250231 description "наукова стаття, опублікована у квітні 2019" @default.
- Q64250231 name "High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks" @default.
- Q64250231 name "High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks" @default.
- Q64250231 type Item @default.
- Q64250231 label "High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks" @default.
- Q64250231 label "High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks" @default.
- Q64250231 prefLabel "High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks" @default.
- Q64250231 prefLabel "High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks" @default.
- Q64250231 P1433 Q64250231-B4E242AF-4DB7-41B6-BA24-6095A4284867 @default.
- Q64250231 P1476 Q64250231-25884D64-7776-455E-BB20-F5E5A229CEBA @default.
- Q64250231 P2093 Q64250231-DD9412E7-745E-4192-92AD-003B7107E10B @default.
- Q64250231 P2093 Q64250231-DE9D50A7-E6DE-4CD7-87BC-14384AACA053 @default.
- Q64250231 P275 Q64250231-8423b7ec-8fdc-4baa-828e-e598ef5ca400 @default.
- Q64250231 P2860 Q64250231-158ED52A-ABB1-4B43-8499-4576E062993E @default.
- Q64250231 P2860 Q64250231-2009E2E6-2518-4552-AA85-FE42905B7DF9 @default.
- Q64250231 P2860 Q64250231-366CAD17-5E95-4739-9D23-2D42B4E7914F @default.
- Q64250231 P2860 Q64250231-4621A9E2-669D-47ED-8001-772F61FF9986 @default.
- Q64250231 P2860 Q64250231-500672BE-F99E-49FF-8731-9B33F35B322E @default.
- Q64250231 P2860 Q64250231-607D5790-D7E1-4897-B7EB-BA9DB15EC7D3 @default.
- Q64250231 P2860 Q64250231-64F8FA73-EE89-47D0-A07D-6149A3C21FCA @default.
- Q64250231 P2860 Q64250231-893212AA-A914-4868-A13D-40B8621D9FDB @default.
- Q64250231 P2860 Q64250231-AF1AC45A-E093-44FD-B9FE-E80E44107A61 @default.
- Q64250231 P304 Q64250231-0FAEA6C0-2035-4044-B714-266008BB3873 @default.
- Q64250231 P31 Q64250231-5901B730-7A11-4D0E-B249-8EF04D8E45D6 @default.
- Q64250231 P356 Q64250231-1FA259F4-38A2-49E1-83EC-80CA3FF0A4CA @default.
- Q64250231 P407 Q64250231-256A2593-1279-40D8-8B28-2A80E275F816 @default.
- Q64250231 P433 Q64250231-1663E8EE-A8B8-46BC-9756-2FF03B358D66 @default.
- Q64250231 P478 Q64250231-D7BB9844-7FA4-4D1C-9313-A46E7A598DBC @default.
- Q64250231 P50 Q64250231-04C0AD79-DBC2-4854-82C8-2F682117AC6C @default.
- Q64250231 P50 Q64250231-07E5F0DB-9E61-438D-951E-C2AF1FB936AB @default.
- Q64250231 P577 Q64250231-0118DB70-B291-4C0F-A5E4-CC60D45FF13B @default.
- Q64250231 P6216 Q64250231-84c1382a-6380-49bc-bd05-c4be5934f49a @default.
- Q64250231 P698 Q64250231-B869529F-E462-46D4-95A0-B76A041873C7 @default.
- Q64250231 P8978 Q64250231-4694A08E-C95C-4ED0-AA2D-72F09474F251 @default.
- Q64250231 P921 Q64250231-D4884534-C3C9-4207-81F1-EBB229B16145 @default.
- Q64250231 P932 Q64250231-CD620538-E24F-4B3C-A733-27DA01A374BD @default.
- Q64250231 P356 S19081814 @default.
- Q64250231 P698 30995743 @default.
- Q64250231 P8978 NietoMSL19 @default.
- Q64250231 P1433 Q3478643 @default.
- Q64250231 P1476 "High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks" @default.
- Q64250231 P2093 "Belén Calvo-López" @default.
- Q64250231 P2093 "Javier Alejandro Martínez-Nieto" @default.
- Q64250231 P275 Q20007257 @default.
- Q64250231 P2860 Q31136659 @default.
- Q64250231 P2860 Q36711369 @default.
- Q64250231 P2860 Q43644421 @default.
- Q64250231 P2860 Q47248351 @default.
- Q64250231 P2860 Q50208247 @default.
- Q64250231 P2860 Q52353874 @default.
- Q64250231 P2860 Q58805279 @default.
- Q64250231 P2860 Q60949016 @default.
- Q64250231 P2860 Q89560627 @default.
- Q64250231 P304 "1814" @default.
- Q64250231 P31 Q13442814 @default.
- Q64250231 P356 "10.3390/S19081814" @default.
- Q64250231 P407 Q1860 @default.
- Q64250231 P433 "8" @default.
- Q64250231 P478 "19" @default.
- Q64250231 P50 Q61467560 @default.
- Q64250231 P50 Q88518924 @default.
- Q64250231 P577 "2019-04-16T00:00:00Z" @default.
- Q64250231 P6216 Q50423863 @default.
- Q64250231 P698 "30995743" @default.
- Q64250231 P8978 "journals/sensors/NietoMSL19" @default.
- Q64250231 P921 Q192776 @default.
- Q64250231 P932 "6514758" @default.