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Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions.

, , , , and . Cognition, Technology & Work, 5 (2): 107-126 (2003)

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Fuzzy model for decision making support., and . SMC (3), page 2611-2616. IEEE, (2004)Maintaining sensing influence, a new concept to recover from undesired decision behavior., , , and . SMC (3), page 2574-2579. IEEE, (2004)Understanding Perceived Complexity in Human Supervisory Control., and . Cognition, Technology & Work, 2 (2): 75-88 (2000)A Two-Dimensional Weighting Function for a Driver Assistance System., , , , and . IEEE Trans. Systems, Man, and Cybernetics, Part B, 38 (1): 189-195 (2008)Nonvestibular Motion Cueing in a Fixed-Base Driving Simulator: Effects on Driver Braking and Cornering Performance., , , and . Presence, 20 (2): 117-142 (2011)Training aircrews to recover from human error: a proposal for a training outline., and . SMC (1), page 188-193. IEEE, (2004)Distribution-based adaptive bounding genetic algorithm for continuous optimisation problems., , , and . Applied Mathematics and Computation, 185 (2): 1063-1077 (2007)Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions., , , , and . Cognition, Technology & Work, 5 (2): 107-126 (2003)Advancing simulation-based driver training: lessons learned and future perspectives., , , , , and . Mobile HCI, page 459-464. ACM, (2008)Car Racing in a Simulator: Validation and Assessment of Brake Pedal Stiffness., , , and . Presence, 20 (1): 47-61 (2011)