Results 261 to 270 of about 89,338 (314)

Intelligent hybrid optimization of tuned inerter dampers in base-isolated multi-storey structures under near-fault pulse-like ground motions. [PDF]

Sci Rep
Li J, Duan L, Zhou Q, Su Q.
europepmc   +1 more source

A Feasibility Study of Hybrid Deep-Learning Prediction with Online Adaptation of Breathing Irregularities for Long-Term Internal Organ Motion During Radiotherapy. [PDF]

Technol Cancer Res Treat
Milewski A, Fayed U, Gupta V, Nie X, Li G.   +4 more
europepmc   +1 more source

Peristaltic transport and thermodynamic analysis of hybrid nanofluids in porous media using physics-informed neural networks. [PDF]

Discov Nano
Vaseem M, Uddin Z, Upreti H.
europepmc   +1 more source

Instrumentation Digital Twins in PET and SPECT Imaging: Current Status, Challenges, and Future Directions. [PDF]

Comput Struct Biotechnol J
Azimi MS, Karakatsanis NA, Sabet H, Rafecas M, Nehmeh S, Alavi A, King M, Zaidi H.   +7 more
europepmc   +1 more source

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Lifting motion simulation using a hybrid approach

Ergonomics, 2015
In this study, a hybrid dynamic model for lifting motion simulation is presented. The human body is represented by a two-dimensional (2D) five-segment model. The lifting motions are predicted by solving a nonlinear optimisation problem, the objective function of which is defined based on a minimal-effort performance criterion.
Xingda Qu, Chun-Hsien Chen
exaly   +3 more sources

Hybrid Coders with Motion Compensation

Multidimensional Systems and Signal Processing, 1992
This paper investigates analytically the effects of motion compensation in a coder based on the observed properties of motion-compensated frame difference (MCFD) signals. The AR(1) processes with a given pixel-to-pixel autocorrelation coefficient will be used to model the intraframe images.
Chi-Fa Chen, K. K. Pang
openaire   +1 more source

Hybrid motion graph for character motion synthesis

Journal of Visual Languages & Computing, 2014
Objective: This paper proposes a novel framework of Hybrid Motion Graph (HMG) for creating character animations, which enhances the graph-based structural control by motion field representations for efficient motion synthesis of diverse and interactive character animations.
Weiwei Xing, Xiang Wei 0007, Jian Zhang 0121, Cheng Ren, Wei Lu 0010   +4 more
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Human Motion Prediction Based on Hybrid Motion Model

2018 IEEE International Conference on Information and Automation (ICIA), 2017
The prediction of the human motion plays an important role in the predictive motion controller of human-assisting mobile robot, and precise prediction requires a precise motion model. In this paper, a novel human motion prediction method is proposed. This prediction method is based on a hybrid motion model which combines the inverted pendulum model and
Ziyou Wang, Shengpeng Liu, Yan Xu
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Motion segmentation method for hybrid characteristic on human motion

Journal of Biomechanics, 2009
Motion segmentation and analysis are used to improve the process of classification of motion and information gathered on repetitive or periodic characteristic. The classification result is useful for ergonomic and postural safety analysis, since repetitive motion is known to be related to certain musculoskeletal disorders.
Newman, Lau, Ben, Wong, Daniel, Chow
openaire   +2 more sources