... an optimum yacht sail. Journal of Fluid Mechanics, 85(3), pp. 459-477. graf prediction wingsail profile machine learning accuracy surrogate model camber ll code order model stall ll model configuration flap angle machine learning algorithm profile optimisation ran simulation artificial...

..., Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, (2008) LEYTON-BROWN, K. SHOHAM, Y., Essentials of Game Theory, Synthesis Lectures on Artificial Intelligence and Machine Learning, (2008) TAGLIAFERRI, F., PHILPOTT, A,B. VOILA, A. FLAY, R,G,J,: On risk attitude...

... frequency yacht sensor fusion compass compute outlier algorithm kalman filter robustness artificial intelligence covariance matrix application sensor faulty sensor fault detection innovation covariance update step matrix equation THE 24T H CHESAPEAKE SAILING YACHT SYMPOSIUM...

.... Various structural configurations will be analysed using the framework outlined in this paper. artificial intelligence wedge deadrise angle water impact problem upstream oil & gas transverse section mesh solver vof method water impact simulation free surface impact event...

.... optimization problem stiffener evolutionary algorithm design space machine learning thickness composite material yacht composite structure design process safety factor optimisation artificial intelligence failure criterion laminate configuration zenkert & battley population size pa mass...

... hull artificial intelligence application amplitude spectrum stiffness deflection diagram coefficient speed polar diagram tw 20knot yacht The increasing number of foiling yachts in offshore and inshore races has driven engineers and researchers to significantly improve the current...

... actuator tack dagger board crew movement simulation turn rate maneuver procedure module rake optimum tack optimization problem artificial intelligence machine learning overshoot angle rudder angle controller baseline tack stability twa procedure dvpp maneuver 2019. The Society...

... part of these studies tries to reproduce the human behavior, its sensations at the helm that enable to adapt to any situation by using artificial intelligence methods. For instance, Tiano, et al., (2001) draws on neural networks to design a course-keeping autopilot for a sailboat. Neural networks...

... objective least-time route maneuver artificial intelligence criteria polar diagram THE 23RD CHESAPEAKE SAILING YACHT SYMPOSIUM ANNAPOLIS, MARYLAND, MARCH 2019 Sailboat Routing with Multiple Objectives for Sailing Races Goulven Guillou, Lab-STICC, University of Brest, France Laurent Lemarchand, Lab...

... upstream oil & gas resistance investigation artificial intelligence constraint wake sheet span optimization problem vorticity coefficient daggerboard solver vortex filament drag coefficient wind speed rudder wing free vortex filament reservoir simulation catamaran boat...

... optimization problem variance machine learning upstream oil & gas reservoir simulation artificial intelligence merit function sail system prediction iteration turbulence model optimization procedure optimization convergence noise numerical model optima experiment algorithm...

... sailing yacht logic programming calculation excitation coefficient artificial intelligence simulation hull proceedings formulation element method variation contribution application downwind case maneuvering motion equation 2016. The Society of Naval Architects and Marine Engineers ...

...-domain dynamic velocity prediction program (DVPP). The results are demonstrated using a single handed Laser and demonstrate an acceptable level of accuracy. centreline body segment loading artificial intelligence yacht sailor machine learning capture system spenkuch turnock performance...

... the expected time needed to complete the race. risk management node optimization problem optimal strategy opponent knowledge machine learning neural network correspond computation upwind leg wind forecast probability sailing match race grid artificial intelligence tack yacht skipper...

... for sailing yachts MTS/IEEE OCEANS 2011., Waikoloa, HI. 2011. deviation linear model sailing yacht artificial intelligence coefficient true wind speed yacht model 8 estimation legursky assumption full-scale data matrix wind speed predictive capability sailboat maneuver initial condition...

... and perceptual skills, the correct balance of immersion and interaction is crucial to an effective simulation. This paper will describe why the VSail-Trainer might just have this balance right. health & medicine water sailing sailing simulator machine learning immersion simulator artificial...

... shape at full scale and model agrees well for given trim settings of the spinnaker, while trim settings for driving force optima where quite different. artificial intelligence yacht full scale machine learning apparent wind angle flying shape investigation university wind tunnel flying...