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- Q62633634 description "article scientifique publié en 2019" @default.
- Q62633634 description "article" @default.
- Q62633634 description "wetenschappelijk artikel" @default.
- Q62633634 description "наукова стаття, опублікована в березні 2019" @default.
- Q62633634 name "Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol" @default.
- Q62633634 name "Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol" @default.
- Q62633634 type Item @default.
- Q62633634 label "Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol" @default.
- Q62633634 label "Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol" @default.
- Q62633634 prefLabel "Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol" @default.
- Q62633634 prefLabel "Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol" @default.
- Q62633634 P1433 Q62633634-8B22906D-35B6-4FEC-9DB8-33FE492C1F5B @default.
- Q62633634 P1476 Q62633634-74F42921-E856-4974-A532-929E18AD4B8B @default.
- Q62633634 P2093 Q62633634-485E2ADA-34E6-4A04-BC02-4BEBB73B86FC @default.
- Q62633634 P2093 Q62633634-74B57169-67F4-4732-BABA-D9290E94D635 @default.
- Q62633634 P2093 Q62633634-989B08D7-1C4A-44FC-A84D-341496C617F9 @default.
- Q62633634 P304 Q62633634-4416B8F1-FD94-42F0-9C2B-BCF127BB98B4 @default.
- Q62633634 P31 Q62633634-F74822E0-0147-4D13-97C8-44D41652AD40 @default.
- Q62633634 P356 Q62633634-BB782923-1AFB-4894-A560-0C1FAD240A0C @default.
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- Q62633634 P921 Q62633634-DF043B44-DF59-4999-AF54-1F2BEBCDDAF9 @default.
- Q62633634 P356 J.ENCONMAN.2019.01.087 @default.
- Q62633634 P1433 Q2444428 @default.
- Q62633634 P1476 "Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol" @default.
- Q62633634 P2093 "Dipankar Kakati" @default.
- Q62633634 P2093 "Rahul Banerjee" @default.
- Q62633634 P2093 "Sumit Roy" @default.
- Q62633634 P304 "488-509" @default.
- Q62633634 P31 Q13442814 @default.
- Q62633634 P356 "10.1016/J.ENCONMAN.2019.01.087" @default.
- Q62633634 P478 "184" @default.
- Q62633634 P577 "2019-03-01T00:00:00Z" @default.
- Q62633634 P921 Q192776 @default.