12 papers:
- KDD-2015-John #big data #case study #how
- How Artificial Intelligence and Big Data Created Rocket Fuel: A Case Study (GJ), p. 1629.
- CASE-2014-HsiehHP #generative #predict #using
- Improving the stability and fuel economy for Belt-Starter Generator Mild HEV at idle speed using model predict control (FCH, YDH, YWP), pp. 916–921.
- CASE-2014-KhodabakhshianFW #performance #predict
- Predictive control of the engine cooling system for fuel efficiency improvement (MK, LF, JW), pp. 61–66.
- CASE-2014-RenfrewHHC #automation #image #segmentation
- Automated segmentation and characterization of ion-abrasion scanning electron microscopy fuel cell images (MR, NH, AH, MCC), pp. 56–60.
- DHM-2014-ZhangTWHFC #modelling
- Modeling Human Control Strategies in Simulated RVD Tasks through the Time-Fuel Optimal Control Model (SZ, YT, CW, SH, YF, SC), pp. 661–670.
- DUXU-NTE-2013-StillwaterK #design #empirical #feedback #matter #multi
- Design Matters: Mid-Term Results from a Multi-Design Fuel Economy Feedback Experiment (TS, KSK), pp. 578–584.
- CASE-2012-LiuS #injection #modelling #validation
- Modeling and experimental validation of air-fuel ratio under individual cylinder fuel injection for port-injection engines (YL, TS), pp. 256–260.
- ICEIS-v2-2011-YuanL #enterprise #float #research #standard
- The Research of Public Transport Enterprises Quota Floating Fuel — National Standard GB4353 Fuel Consumption for Passenger Vehicles in Operation Applied to the Public Transport Enterprise (YY, ML), pp. 291–296.
- CASE-2010-Puffer #automation #challenge
- Automation challenges and opportunities for high volume manufacture of proton exchange membrane fuel cell stacks (RHP), pp. 287–292.
- DHM-2009-Filla #modelling
- A Methodology for Modeling the Influence of Construction Machinery Operators on Productivity and Fuel Consumption (RF), pp. 614–623.
- DAC-2006-ZhuoCCV #hybrid
- Extending the lifetime of fuel cell based hybrid systems (JZ, CC, NC, SBKV), pp. 562–567.
- SAC-1994-Negoita #fuzzy #injection #logic #realtime
- Fuzzy logic real-time intelligent control of fuel injection engines (MGN), pp. 110–114.