Log in

Relevant bibliographies by topics / Prediction Motion / Journal articles

To see the other types of publications on this topic, follow the link: Prediction Motion.

Journal articles on the topic 'Prediction Motion'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Prediction Motion.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Fan, Hehe, Linchao Zhu, and Yi Yang. "Cubic LSTMs for Video Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8263–70. http://dx.doi.org/10.1609/aaai.v33i01.33018263.

Full text

Abstract:

Predicting future frames in videos has become a promising direction of research for both computer vision and robot learning communities. The core of this problem involves moving object capture and future motion prediction. While object capture specifies which objects are moving in videos, motion prediction describes their future dynamics. Motivated by this analysis, we propose a Cubic Long Short-Term Memory (CubicLSTM) unit for video prediction. CubicLSTM consists of three branches, i.e., a spatial branch for capturing moving objects, a temporal branch for processing motions, and an output bra

APA, Harvard, Vancouver, ISO, and other styles

2

Rudenko, Andrey, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, and Kai O. Arras. "Human motion trajectory prediction: a survey." International Journal of Robotics Research 39, no. 8 (2020): 895–935. http://dx.doi.org/10.1177/0278364920917446.

Full text

Abstract:

With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand, and anticipate human behavior becomes increasingly important. Specifically, predicting future positions of dynamic agents and planning considering such predictions are key tasks for self-driving vehicles, service robots, and advanced surveillance systems. This article provides a survey of human motion trajectory prediction. We review, analyze, and structure a large selection of work from different communities and propose a taxonomy that categorizes existing methods

APA, Harvard, Vancouver, ISO, and other styles

3

Winkelstein, Beth A., and Barry S. Myers. "Importance of Nonlinear and Multivariable Flexibility Coefficients in the Prediction of Human Cervical Spine Motion." Journal of Biomechanical Engineering 124, no. 5 (2002): 504–11. http://dx.doi.org/10.1115/1.1504098.

Full text

Abstract:

The flexibility matrix currently forms the basis for multibody dynamics models of cervical spine motion. While studies have aimed to determine cervical motion segment behavior, their accuracy and utility have been limited by both experimental and analytical assumptions. Flexibility terms have been primarily represented as constants despite the spine’s nonlinear stiffening response. Also, nondiagonal terms, describing coupled motions, of the matrices are often omitted. Currently, no study validates the flexibility approach for predicting vertebral motions; nor have the effects of matrix approxi

APA, Harvard, Vancouver, ISO, and other styles

4

Fernandes, J. M., and C. E. de Souza. "Ship Motion Prediction." IFAC Proceedings Volumes 26, no. 2 (1993): 881–85. http://dx.doi.org/10.1016/s1474-6670(17)48598-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Ernst, Floris, Alexander Schlaefer, and Achim Schweikard. "Predicting the outcome of respiratory motion prediction." Medical Physics 38, no. 10 (2011): 5569–81. http://dx.doi.org/10.1118/1.3633907.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Fridovich-Keil, David, Andrea Bajcsy, Jaime F. Fisac, et al. "Confidence-aware motion prediction for real-time collision avoidance1." International Journal of Robotics Research 39, no. 2-3 (2019): 250–65. http://dx.doi.org/10.1177/0278364919859436.

Full text

Abstract:

One of the most difficult challenges in robot motion planning is to account for the behavior of other moving agents, such as humans. Commonly, practitioners employ predictive models to reason about where other agents are going to move. Though there has been much recent work in building predictive models, no model is ever perfect: an agent can always move unexpectedly, in a way that is not predicted or not assigned sufficient probability. In such cases, the robot may plan trajectories that appear safe but, in fact, lead to collision. Rather than trust a model’s predictions blindly, we propose t

APA, Harvard, Vancouver, ISO, and other styles

7

Gülerce, Zeynep, Bahadır Kargoığlu, and Norman A. Abrahamson. "Turkey-Adjusted NGA-W1 Horizontal Ground Motion Prediction Models." Earthquake Spectra 32, no. 1 (2016): 75–100. http://dx.doi.org/10.1193/022714eqs034m.

Full text

Abstract:

The objective of this paper is to evaluate the differences between the Next Generation Attenuation: West-1 (NGA-W1) ground motion prediction models (GMPEs) and the Turkish strong ground motion data set and to modify the required pieces of the NGA-W1 models for applicability in Turkey. A comparison data set is compiled by including strong motions from earthquakes that occurred in Turkey and earthquake metadata of ground motions consistent with the NGA-W1 database. Random-effects regression is employed and plots of the residuals are used to evaluate the differences in magnitude, distance, and si

APA, Harvard, Vancouver, ISO, and other styles

8

Jin, Xin, Jia Guo, Zhong Li, and Ruihao Wang. "Motion Prediction of Human Wearing Powered Exoskeleton." Mathematical Problems in Engineering 2020 (December 21, 2020): 1–8. http://dx.doi.org/10.1155/2020/8899880.

Full text

Abstract:

With the development of powered exoskeleton in recent years, one important limitation is the capability of collaborating with human. Human-machine interaction requires the exoskeleton to accurately predict the human motion of the upcoming movement. Many recent works implement neural network algorithms such as recurrent neural networks (RNN) in motion prediction. However, they are still insufficient in efficiency and accuracy. In this paper, a Gaussian process latent variable model (GPLVM) is employed to transform the high-dimensional data into low-dimensional data. Combining with the nonlinear

APA, Harvard, Vancouver, ISO, and other styles

9

Hadian Jazi, Marjan, Alireza Bab-Hadiashar, and Reza Hoseinnezhad. "Analytical Analysis of Motion Separability." Scientific World Journal 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/878417.

Full text

Abstract:

Motion segmentation is an important task in computer vision and several practical approaches have already been developed. A common approach to motion segmentation is to use the optical flow and formulate the segmentation problem using a linear approximation of the brightness constancy constraints. Although there are numerous solutions to solve this problem and their accuracies and reliabilities have been studied, the exact definition of the segmentation problem, its theoretical feasibility and the conditions for successful motion segmentation are yet to be derived. This paper presents a simpli

APA, Harvard, Vancouver, ISO, and other styles

10

Dürichen, R., T. Wissel, F. Ernst, A. Schlaefer, and A. Schweikard. "Multivariate respiratory motion prediction." Physics in Medicine and Biology 59, no. 20 (2014): 6043–60. http://dx.doi.org/10.1088/0031-9155/59/20/6043.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

HIDA, Tomoya, Tetsuya ASANO, Chiharu HIGASHINO, Masaaki KANAMARU, Jun'ichi KANEKO, and Yoshimi TAKEUCHI. "0101 Development of Cutting Force Prediction Method Considering Cutting Tool Motion Error : Prediction of Surge Cutting Force Using Motion Information from CNC Controller." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2015.8 (2015): _0101–1_—_0101–5_. http://dx.doi.org/10.1299/jsmelem.2015.8._0101-1_.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Gripenberg, Gustaf, and Ilkka Norros. "On the prediction of fractional Brownian motion." Journal of Applied Probability 33, no. 2 (1996): 400–410. http://dx.doi.org/10.2307/3215063.

Full text

Abstract:

Integration with respect to the fractional Brownian motion Z with Hurst parameter is discussed. The predictor is represented as an integral with respect to Z, solving a weakly singular integral equation for the prediction weight function.

APA, Harvard, Vancouver, ISO, and other styles

13

Kordasiewicz, R. C., M. D. Gallant, and S. Shirani. "Affine Motion Prediction Based on Translational Motion Vectors." IEEE Transactions on Circuits and Systems for Video Technology 17, no. 10 (2007): 1388–94. http://dx.doi.org/10.1109/tcsvt.2007.903777.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Mao, Wei, Miaomiao Liu, Mathieu Salzmann, and Hongdong Li. "Multi-level Motion Attention for Human Motion Prediction." International Journal of Computer Vision 129, no. 9 (2021): 2513–35. http://dx.doi.org/10.1007/s11263-021-01483-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Andersson, Kenneth, Mats Andersson, Peter Johansson, Robert Forchheimer, and Hans Knutsson. "Motion compensation using backward prediction and prediction refinement." Signal Processing: Image Communication 18, no. 5 (2003): 381–400. http://dx.doi.org/10.1016/s0923-5965(03)00012-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Wang, Yu Chao, Fan Ming Liu, and Hui Xuan Fu. "Ship Rolling Motion Prediction Based on Wavelet Neural Network." Applied Mechanics and Materials 190-191 (July 2012): 724–28. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.724.

Full text

Abstract:

The traditional time series predictive models are not able to achieve a satisfying prediction effect in the problem of a non-linear system and nonstationary time series. To solve these problems, ship course time series prediction, which is based on back propagation wavelet neural network structure and algorithm, was proposed. It combined wavelet analysis and neural network characteristics, and employed the nonlinear Morlet wavelet radices as the activation function. This method was applied to ship rolling motion prediction, and simulation results showed the validity to improving the prediction

APA, Harvard, Vancouver, ISO, and other styles

17

de'Sperati, Claudio, and Ian M. Thornton. "Motion prediction at low contrast." Vision Research 154 (January 2019): 85–96. http://dx.doi.org/10.1016/j.visres.2018.11.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Kappagantula, S., and K. Rao. "Motion Compensated Interframe Image Prediction." IEEE Transactions on Communications 33, no. 9 (1985): 1011–15. http://dx.doi.org/10.1109/tcom.1985.1096415.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Baltay, Annemarie S., and Gregory C. Beroza. "Ground-motion prediction from tremor." Geophysical Research Letters 40, no. 24 (2013): 6340–45. http://dx.doi.org/10.1002/2013gl058506.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Wiegand, T., E. Steinbach, and B. Girod. "Affine multipicture motion-compensated prediction." IEEE Transactions on Circuits and Systems for Video Technology 15, no. 2 (2005): 197–209. http://dx.doi.org/10.1109/tcsvt.2004.841690.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Jamjoom, Abdulrzaq Naji. "Motion Prediction of Underwater Sensors." European Journal of Engineering Research and Science 5, no. 10 (2020): 1249–52. http://dx.doi.org/10.24018/ejers.2020.5.10.2177.

Full text

Abstract:

In this work, we will simulate the motion of a single underwater sensor knowing the current velocity to predict its location and velocity during certain time frame using a numerical approach of non-linear time-dependent partial differential equations and develop numerical computer programming code to solve the equations. The underwater sensor are used to collect data for many scientific and practical reasons all the sensor collected data without specifying the sensor location and time will be missing lowers valuable information and by simulating the sensor motion numerically will have ma

APA, Harvard, Vancouver, ISO, and other styles

22

Grottoli, Marco, Diane Cleij, Paolo Pretto, Yves Lemmens, Riender Happee, and Heinrich H. Bülthoff. "Objective evaluation of prediction strategies for optimization-based motion cueing." SIMULATION 95, no. 8 (2018): 707–24. http://dx.doi.org/10.1177/0037549718815972.

Full text

Abstract:

Optimization-based motion cueing algorithms based on model predictive control have been recently implemented to reproduce the motion of a car within the limited workspace of a driving simulator. These algorithms require a reference of the future vehicle motion to compute a prediction of the system response. Assumptions regarding the future reference signals must be made in order to develop effective prediction strategies. However, it remains unclear how the prediction of future vehicle dynamics influences the quality of the motion cueing. In this study two prediction strategies are considered.

APA, Harvard, Vancouver, ISO, and other styles

23

Bushong, Wednesday, Burcu Urgen, Luke Miller, and Ayse Saygin. "Influence of Form and Motion on Biological Motion Prediction." Journal of Vision 15, no. 12 (2015): 500. http://dx.doi.org/10.1167/15.12.500.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Ren, Qing, Seiko Nishioka, Hiroki Shirato, and Ross I. Berbeco. "Adaptive prediction of respiratory motion for motion compensation radiotherapy." Physics in Medicine and Biology 52, no. 22 (2007): 6651–61. http://dx.doi.org/10.1088/0031-9155/52/22/007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Tesfamicael, B., T. Lee, and C. Keppel. "Prediction of Lung Tumor Motion With Measured Breathing Motion." International Journal of Radiation Oncology*Biology*Physics 84, no. 3 (2012): S735. http://dx.doi.org/10.1016/j.ijrobp.2012.07.1967.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Jefferys, E. R., and B. S. Samra. "Adaptive Prediction of the Motion of Marine Vehicles." Journal of Energy Resources Technology 107, no. 4 (1985): 450–54. http://dx.doi.org/10.1115/1.3231217.

Full text

Abstract:

A predictor of the future motion of a vessel subject to random wave and wind forces, would have a variety of applications in ocean engineering. Most previous work has assumed that the wave spectrum is known and that the vessel is modeled accurately; both factors affect the predictor performance strongly. In practice, the relevant data is difficult to measure on a manoeuvering vessel and can change significantly with operating conditions. Here were describe the application of an adaptive algorithm which predicts the future of a signal from its history. The predictor adapts to the signal and var

APA, Harvard, Vancouver, ISO, and other styles

27

Kundu, Jogendra Nath, Maharshi Gor, and R. Venkatesh Babu. "BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8553–60. http://dx.doi.org/10.1609/aaai.v33i01.33018553.

Full text

Abstract:

Human motion prediction model has applications in various fields of computer vision. Without taking into account the inherent stochasticity in the prediction of future pose dynamics, such methods often converges to a deterministic undesired mean of multiple probable outcomes. Devoid of this, we propose a novel probabilistic generative approach called Bidirectional Human motion prediction GAN, or BiHMP-GAN. To be able to generate multiple probable human-pose sequences, conditioned on a given starting sequence, we introduce a random extrinsic factor r, drawn from a predefined prior distribution.

APA, Harvard, Vancouver, ISO, and other styles

28

Guo, Xiao, and Jongmoo Choi. "Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 2580–87. http://dx.doi.org/10.1609/aaai.v33i01.33012580.

Full text

Abstract:

Human motion prediction from motion capture data is a classical problem in the computer vision, and conventional methods take the holistic human body as input. These methods ignore the fact that, in various human activities, different body components (limbs and the torso) have distinctive characteristics in terms of the moving pattern. In this paper, we argue local representations on different body components should be learned separately and, based on such idea, propose a network, Skeleton Network (SkelNet), for long-term human motion prediction. Specifically, at each time-step, local structur

APA, Harvard, Vancouver, ISO, and other styles

29

McCarthy, Dennis D. "Predicting Earth orientation." Symposium - International Astronomical Union 128 (1988): 275–80. http://dx.doi.org/10.1017/s007418090011959x.

Full text

Abstract:

Predictions of Earth orientation parameters are affected by the accuracy of the input data, the quality of the statistical models, and the delay between the last observed data and the date of the first prediction. The accuracy of the prediction of polar motion is adequate to meet most user needs, but the prediction of UT1-UTC is more difficult. Extended forecasts of polar motion and the rotational time can also be made with useful accuracies.

APA, Harvard, Vancouver, ISO, and other styles

30

Luo, Albert C. J., and Fei-Yue Wang. "Nonlinear Dynamics of a Micro-Electro-Mechanical System With Time-Varying Capacitors." Journal of Vibration and Acoustics 126, no. 1 (2004): 77–83. http://dx.doi.org/10.1115/1.1597211.

Full text

Abstract:

The natural frequency and responses of a micro-electro-mechanical system (MEMS) with time-varying capacitors are determined under an equivalent direct current (DC) voltage. Under alternating current (AC) voltages, the resonant condition and the corresponding resonant motion possessing a wide energy band for such a system are investigated because the motion with the wide energy band is very easily sensed. For a given voltage strength, the AC frequency band is obtained for chaotic resonant motions in the specific resonant layer. The numerical and analytical predictions of such a motion are in a

APA, Harvard, Vancouver, ISO, and other styles

31

Kanokoda, Takahiro, Yuki Kushitani, Moe Shimada, and Jun Ichi Shirakashi. "Motion Prediction with Artificial Neural Networks Using Wearable Strain Sensors Based on Flexible Thin Graphite Films." Key Engineering Materials 826 (October 2019): 111–16. http://dx.doi.org/10.4028/www.scientific.net/kem.826.111.

Full text

Abstract:

A human motion prediction system can be used to estimate human gestures in advance to the actual action for reducing delays in interactive system. We have already reported a method of simple and easy fabrication of strain sensors and wearable devices using pyrolytic graphite sheets (PGSs). The wearable electronics could detect various types of human motion, with high durability and fast response. In this study, we have demonstrated hand motion prediction by neural networks (NNs) using hand motion data obtained from data gloves based on PGSs. In our experiments, we measured hand motions of subj

APA, Harvard, Vancouver, ISO, and other styles

32

Yang, Xin Dong, Zuo Chao Wang, Ai Guo Shi, Bo Liu, and Li Li. "Research on Ship Swaying Motion Prediction Based on Multi-Variable Chaotic Time Series Analysis." Advanced Materials Research 712-715 (June 2013): 1550–54. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1550.

Full text

Abstract:

Wind and waves have particularly significant influence upon exertion of naval vessels battle effectiveness. It is urgently necessary to improve the ability of the Navy to carry out combat service in severe sea state normally. This paper aims to obtain the accurate prediction of ship motions with second level predictable time in real waves. According to the characteristics of the ship motion, the research on extremely short-time prediction of ship motion has been carried out based on multi-variable chaotic time series analysis, and the effectiveness of the prediction of ship motion in real wave

APA, Harvard, Vancouver, ISO, and other styles

33

de Wit, Matthieu M., and Laurel J. Buxbaum. "Critical Motor Involvement in Prediction of Human and Non-biological Motion Trajectories." Journal of the International Neuropsychological Society 23, no. 2 (2017): 171–84. http://dx.doi.org/10.1017/s1355617716001144.

Full text

Abstract:

AbstractObjectives: Adaptive interaction with the environment requires the ability to predict both human and non-biological motion trajectories. Prior accounts of the neurocognitive basis for prediction of these two motion classes may generally be divided into those that posit that non-biological motion trajectories are predicted using the same motor planning and/or simulation mechanisms used for human actions, and those that posit distinct mechanisms for each. Using brain lesion patients and healthy controls, this study examined critical neural substrates and behavioral correlates of human an

APA, Harvard, Vancouver, ISO, and other styles

34

Yang, Young Jun, and Sun Hong Kwon. "Prediction for Irregular Ocean Wave and Floating Body Motion by Regularization: Part 2. Motion Prediction." Transactions of FAMENA 41, no. 1 (2017): 37–53. http://dx.doi.org/10.21278/tof.41104.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Kim, Byungmoon, and Jarek Rossignac. "Collision Prediction." Journal of Computing and Information Science in Engineering 3, no. 4 (2003): 295–301. http://dx.doi.org/10.1115/1.1632526.

Full text

Abstract:

The prediction of collisions amongst N rigid objects may be reduced to a series of computations of the time to first contact for all pairs of objects. Simple enclosing bounds and hierarchical partitions of the space-time domain are often used to avoid testing object-pairs that clearly will not collide. When the remaining pairs involve only polyhedra under straight-line translation, the exact computation of the collision time and of the contacts requires only solving for intersections between linear geometries. When a pair is subject to a more general relative motion, such a direct collision pr

APA, Harvard, Vancouver, ISO, and other styles

36

Xu, Chaoshun, Masahiro Fujiwara, Yasutoshi Makino, and Hiroyuki Shinoda. "Investigation of Preliminary Motions from a Static State and Their Predictability." Journal of Robotics and Mechatronics 33, no. 3 (2021): 537–46. http://dx.doi.org/10.20965/jrm.2021.p0537.

Full text

Abstract:

Humans observe the actions of others and predict their movements slightly ahead of time in everyday life. Many studies have been conducted to automate such a prediction ability computationally using neural networks; however, they implicitly assumed that preliminary motions occurred before significant movements. In this study, we quantitatively investigate when and how long a preliminary motion appears in motions from static states and what kinds of motion can be predicted in principle. We consider this knowledge fundamental for movement prediction in interaction techniques. We examined prelimi

APA, Harvard, Vancouver, ISO, and other styles

37

Grunewald, A., and M. J. M. Lankheet. "The Orthogonal Motion Aftereffect." Perception 25, no. 1_suppl (1996): 65. http://dx.doi.org/10.1068/v96l0805.

Full text

Abstract:

A recent model of motion perception suggests that the motion aftereffect (MAE) is due to an interaction across all directions, rather than just opposite directions (Grunewald, 1995 Perception24 Supplement, 111). According to the model, the MAE is caused by the interaction of broadly tuned inhibition and narrowly tuned excitation, both in direction space. The model correctly suggests that, after adaptation to opposite directions of motion, no MAE results. Unlike other accounts of the MAE, this model predicts that, after adaptation to opposite but broadly defined directions of motion, a MAE orth

APA, Harvard, Vancouver, ISO, and other styles

38

Graves, Robert W., Brad T. Aagaard, and Kenneth W. Hudnut. "The ShakeOut Earthquake Source and Ground Motion Simulations." Earthquake Spectra 27, no. 2 (2011): 273–91. http://dx.doi.org/10.1193/1.3570677.

Full text

Abstract:

The ShakeOut Scenario is premised upon the detailed description of a hypothetical Mw 7.8 earthquake on the southern San Andreas Fault and the associated simulated ground motions. The main features of the scenario, such as its endpoints, magnitude, and gross slip distribution, were defined through expert opinion and incorporated information from many previous studies. Slip at smaller length scales, rupture speed, and rise time were constrained using empirical relationships and experience gained from previous strong-motion modeling. Using this rupture description and a 3-D model of the crust, br

APA, Harvard, Vancouver, ISO, and other styles

39

Shin, Hyun-Kyoung, Jae-Hwan Jung, and Ho-Young Lee. "Prediction of Ship Maneuverability by Circular Motion Test." Journal of the Society of Naval Architects of Korea 46, no. 3 (2009): 259–67. http://dx.doi.org/10.3744/snak.2009.46.3.259.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Liu, Sun Bo, Ping An Shi, and Lei Wu. "Short-Term Prediction of Ship Motion Based on EMD-SVM." Applied Mechanics and Materials 571-572 (June 2014): 252–57. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.252.

Full text

Abstract:

Ship sailing at sea is affected by many factors, such as winds, waves and so on, which makes six degrees of freedom motions and thus influences the shipboard arms control, aircraft landing and other operations. In view of the non-linear and non-stationary features of ship motion in waves, a new method based on EMD (Empirical Model Decomposition) and SVM (Support Vector Machine) is presented to predict the ship motion. The EMD is used to decompose the ship motion time series data into several IMFs (intrinsic mode functions) and a residual trend term, which decreases the difficulty of prediction

APA, Harvard, Vancouver, ISO, and other styles

41

DeLucia, Patricia R., and Gregory W. Liddell. "Cognitive motion extrapolation and cognitive clocking in prediction motion tasks." Journal of Experimental Psychology: Human Perception and Performance 24, no. 3 (1998): 901–14. http://dx.doi.org/10.1037/0096-1523.24.3.901.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Haas, Olivier C. L., Daniel Paluszczyszyn, Mariusz Ruta, and Piotr Skworcow. "Motion prediction and control for patient motion compensation in radiotherapy." IFAC Proceedings Volumes 44, no. 1 (2011): 5985–90. http://dx.doi.org/10.3182/20110828-6-it-1002.03559.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Goda, Katsuichiro, and Gail M. Atkinson. "Variation of Source-to-Site Distance for Megathrust Subduction Earthquakes: Effects on Ground Motion Prediction Equations." Earthquake Spectra 30, no. 2 (2014): 845–66. http://dx.doi.org/10.1193/080512eqs254m.

Full text

Abstract:

This study investigates the effects of using different finite-fault source models in evaluating rupture distances for megathrust subduction earthquakes. The uncertainty of the calculated rupture distances affects interpretation of the recorded ground motions significantly. To demonstrate this from an empirical perspective, ground motion data and available finite-fault models for the 2011 M9.0 Tohoku, 2003 M8.3 Tokachi-oki, and 2005 M7.2 Miyagi-oki earthquakes are analyzed. The impact of different finite-fault models on the development of ground motion prediction equations for these large subdu

APA, Harvard, Vancouver, ISO, and other styles

44

Takao, Motoharu, Hiroaki Miyajima, and Takanori Shinagawa. "Diurnal modulation of visual motion prediction." Chronobiology International 32, no. 7 (2015): 1019–23. http://dx.doi.org/10.3109/07420528.2015.1053564.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Chen, Zhuo, Lu Wang, and Nelson H. C. Yung. "Adaptive human motion analysis and prediction." Pattern Recognition 44, no. 12 (2011): 2902–14. http://dx.doi.org/10.1016/j.patcog.2011.04.022.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Sottinen, Tommi, and Lauri Viitasaari. "Prediction law of fractional Brownian motion." Statistics & Probability Letters 129 (October 2017): 155–66. http://dx.doi.org/10.1016/j.spl.2017.05.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Barata, Catarina, Jacinto C. Nascimento, João M. Lemos, and Jorge S. Marques. "Sparse motion fields for trajectory prediction." Pattern Recognition 110 (February 2021): 107631. http://dx.doi.org/10.1016/j.patcog.2020.107631.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Cheong, Daniel, Jon-Kar Zubieta, and Jing Liu. "Neural Correlates of Visual Motion Prediction." PLoS ONE 7, no. 6 (2012): e39854. http://dx.doi.org/10.1371/journal.pone.0039854.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Vetter, Petra, Marie-Helene Grosbras, and Lars Muckli. "TMS Over V5 Disrupts Motion Prediction." Cerebral Cortex 25, no. 4 (2013): 1052–59. http://dx.doi.org/10.1093/cercor/bht297.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Dockstader, S. L., and N. S. Imennov. "Prediction for human motion tracking failures." IEEE Transactions on Image Processing 15, no. 2 (2006): 411–21. http://dx.doi.org/10.1109/tip.2005.860594.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!