Books on the topic 'Prediction Motion'

Lee, Suk Jin, and Yuichi Motai. Prediction and Classification of Respiratory Motion. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41509-8.

Bernd, Girod, ed. Multi-frame motion-compensated prediction for video transmission. Boston: Kluwer Academic Publishers, 2001.

Wiegand, Thomas, and Bernd Girod. Multi-Frame Motion-Compensated Prediction for Video Transmission. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1487-9.

Wiegand, Thomas. Multi-Frame Motion-Compensated Prediction for Video Transmission. Boston, MA: Springer US, 2001.

Gibson, David Michael. Trajectory-based multi-frame motion estimation with applications to motion compensated prediction. Birmingham: University of Birmingham, 2001.

Govea, Alejandro Dizan Vasquez. Incremental Learning for Motion Prediction of Pedestrians and Vehicles. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13642-9.

Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

Kautz, Richard. Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

Cronin, Meghan. Mooring motion correction of SYNOP central array current meter data. Narragansett, R.I: University of Rhode Island, Graduate School of Oceanography, 1992.

Evernden, J. F. Predictive model for important ground motion parameters associated with large and great earthquakes. Washington, DC: U.S. Geological Survey, 1988.

Evernden, J. F. Predictive model for important ground motion parameters associated with large and great earthquakes. [Washington]: U.S. G.P.O., 1988.

Maziat, Reza. Prediction of the aerodynamic characteristics of wings and bodies in coning motion. Manchester: University ofManchester, 1996.

Bartel, Robert E. Prediction of transonic vortex flows using linear and nonlinear turbulent eddy viscosity models. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

Faccioli, Ezio. Prediction of Ground Motion and Loss Scenarios for Selected Infrastructure Systems in European Urban Environments: LESSLOSS Report No. 2007/08. Pavia: Istituto Universitario di Studi Superiori, 2007.

Vondrak, Jan. Prediction of polar motions from air and water excitations. Columbus, Ohio: Dept. of Geodetic Science and Surveying, Ohio State University, 1989.

Elsberry, Russell L. Advances in dynamical predictions and modelling of tropical cyclone motion. Monterey, Calif: Naval Postgraduate School, 1993.

Tahirovic, Adnan. Passivity-Based Model Predictive Control for Mobile Vehicle Motion Planning. London: Springer London, 2013.

Tahirovic, Adnan, and Gianantonio Magnani. Passivity-Based Model Predictive Control for Mobile Vehicle Motion Planning. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5049-7.

Lindstrom, Timothy Edward. Predictions and observations of seafloor infrasonic noise generated by sea surface orbital motion. Springfield, Va: Available from the National Technical Information Service, 1991.

Corrosion prediction and prevention in motor vehicles. Chichester [West Sussex, England]: E. Horwood, 1988.

Atlantic, Canada Defence Research Establishment. Swatm2: A Computer Program For the Prediction of Swath Ship Motions in Regular and Irregular Waves. S.l: s.n, 1985.

Kinard, Tom A. Euler technology assessment for preliminary aircraft design - compressibility predictions by employing the unstructured grid USM3D code. Hampton, Va: Langley Research Center, 1996.

Kodým, Miloslav. K psychologii schopností a predikci senzomotorického výkonu. Praha: Academia, 1987.

Finley, Dennis B. Euler technology assessment for preliminary aircraft design - compressibility predictions by employing the Cartesian unstructured grid SPLITFLOW code. Hampton, Va: Langley Research Center, 1996.

Stalph, Patrick. Analysis and design of machine learning techniques: Evolutionary solutions for regression, prediction, and control problems. Wiesbaden: Springer Vieweg, 2014.

Lee, Suk Jin, and Yuichi Motai. Prediction and Classification of Respiratory Motion. Springer, 2016.

Govea, Alejandro Dizan Vasquez. Incremental Learning for Motion Prediction of Pedestrians and Vehicles. Springer, 2012.

Govea, Alejandro Dizan Vasquez. Incremental Learning for Motion Prediction of Pedestrians and Vehicles. Springer London, Limited, 2010.

Incremental Learning For Motion Prediction Of Pedestrians And Vehicles. Springer, 2010.

United States. National Aeronautics and Space Administration., ed. Prediction and control of vortex-dominated and vortex-wake flows. Norfolk, Va: Old Dominion University Research Foundation, 1993.

1931-, Saridis George N., and United States. National Aeronautics and Space Administration., eds. Distance estimation and collision prediction for on-line robotic motion planning. Troy, N.Y: Center for Intelligent Robotic Systems for Space Exploration, Rensselaer Polytechnic Institute, 1991.

Herzog, Walter. Individual muscle force prediction in athletic movements. 1986.

Herzog, Walter. Individual muscle force prediction in athletic movements. 1985.

T, Delaney Paul, and Geological Survey (U.S.), eds. Motion of Kilauea Volcano during sustained eruption from the Puu Oo and Kupaianaha vents, 1983-1991: Supplemental information. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

Prediction of subsonic vortex shedding from forebodies with chines. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

L, Glegg Stewart A., and United States. National Aeronautics and Space Administration., eds. Velocity measurements in a turbulent trailing vortex and their application to BWI noise prediction. Blacksburg, VA: Dept. of Aerospace and Ocean Engineering, Virginia Polytechnic Institute and State University, 1991.

J, Lesieutre Daniel, United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, and Langley Research Center, eds. Prediction of vortex shedding from circular and noncircular bodies in subsonic flow. [Washington, D.C.]: National Aeronautics and Space 16, 1986.

A Linear Physiological Visual-Vestibular Interaction Model for the Prediction of Motion Sickness Incidence. Storming Media, 2004.

A zonal approach for prediction of jet noise. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1995.

United States. National Aeronautics and Space Administration., ed. Prediction and control of vortex-dominated and vortex-wake flows. Norfolk, Va: Old Dominion University Research Foundation, 1993.

Girod, Bernd, and Thomas Wiegand. Multi Frame Motion-Compensated Prediction for Video Transmission (The Springer International Series in Engineering and Computer Science). Springer, 2001.

Empirical prediction of near-source ground motion for the Diablo Canyon power plant site, San Luis Obispo County, California. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1989.

J, Bobbitt Percy, and Langley Research Center, eds. Semiempirical method for predicting vortex-induced rolling moments. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

J, Yu N., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Flow prediction for propfan engine installation effects on transport aircraft at transonic speeds. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

United States. National Aeronautics and Space Administration., ed. Prediction and control of vortex-dominated and vortex-wake flows: Final report for the period December 1, 1993 through December 1, 1995. Norfolk, Va: Old Dominion University Research Foundation, 1996.

Predicting Motion (The Physical World). Taylor & Francis, 2000.

Human Motion Simulation: Predictive Dynamics. Elsevier Science & Technology Books, 2013.

Zukunft als Katastrophe. FISCHER, S., 2014.

United States. National Aeronautics and Space Administration., ed. A numerical model of unsteady, subsonic aeroelastic behavior. [Washington, D.C: National Aeronautics and Space Administration, 1987.