A Motion Prediction Confidence Estimation Framework for Prediction-Based Radiotherapy Gating.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14236
Abstract: PURPOSE Motion prediction can compensate for latency in image guided radiotherapy and has been an active area of research. However, motion predictions are subject to error and variations. We have developed and evaluated a novel… read more here.
Keywords: confidence; radiotherapy; prediction confidence; motion prediction ... See more keywords
Vertical ground motion prediction equations and vertical-to-horizontal (V/H) ratios of PGA and PSA for Algeria and surrounding region
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of Earthquake Engineering"
DOI: 10.1007/s10518-019-00635-y
Abstract: The paper presents a ground motion prediction equation (GMPE) for the vertical pseudo spectral acceleration for periods varying from 0.02 to 4 s. The model is derived from the same strong motion database as previously considered… read more here.
Keywords: motion; period; spectral ratios; ground motion ... See more keywords
Bilateral motion prediction and control for teleoperation under long time-varying delays.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.01.015
Abstract: Bilateral controller design for the teleoperation system is studied in this paper based on a motion prediction approach. To compensate the known long time-varying delays, novel predictors are presented to reconstruct the positions and velocities… read more here.
Keywords: time varying; time; teleoperation; motion prediction ... See more keywords
Multiscale attention-based LSTM for ship motion prediction
Sign Up to like & getrecommendations! Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.109066
Abstract: Abstract Ship motion prediction is applied to the shipboard stabilized platform to keep the equipment on the platform stable all the time, which is of great practical significance to the safety and efficiency of shipboard… read more here.
Keywords: ship motion; attention; motion prediction; lstm ship ... See more keywords
On-going challenges in physics-based ground motion prediction and insights from the 2010–2011 Canterbury and 2016 Kaikoura, New Zealand earthquakes
Sign Up to like & getrecommendations! Published in 2019 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2018.04.042
Abstract: Abstract This paper presents on-going challenges in the present paradigm shift of earthquake-induced ground motion prediction from empirical to physics-based simulation methods. The 2010–2011 Canterbury and 2016 Kaikoura, New Zealand earthquakes are used to illustrate… read more here.
Keywords: ground; physics; motion prediction; physics based ... See more keywords
Research on Polar Motion Prediction Based on Radial Basis Function Neural Network Interpolation
Sign Up to like & getrecommendations! Published in 2025 at "Earth and Space Science"
DOI: 10.1029/2025ea004422
Abstract: Accurate prediction of polar motion are crucial for various scientific fields, including astronomy, geoscience, and oceanography. The temporal resolution of the modeling data currently utilized in polar motion prediction research is 1 day. This paper… read more here.
Keywords: polar motion; prediction; research; motion prediction ... See more keywords
Learning behavior aware features across spaces for improved 3D human motion prediction
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-11073-z
Abstract: 3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most existing works model human motion dependencies exclusively in… read more here.
Keywords: human motion; space; algebra; motion prediction ... See more keywords
Human arm motion prediction in human-robot interaction based on a modified minimum jerk model
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Robotics"
DOI: 10.1080/01691864.2020.1840432
Abstract: Accurate prediction of human motion is essential to ensure the efficiency and safety of human-robot interaction (HRI), especially when humans and robots interact closely in a shared environment. A novel method is developed in this… read more here.
Keywords: motion; human arm; motion prediction; prediction ... See more keywords
Strong Motion Data Based Regional Ground Motion Prediction Equations for North East India Based on Non-Linear Regression Models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Earthquake Engineering"
DOI: 10.1080/13632469.2020.1778586
Abstract: Existing Ground Motion Prediction Equations (GMPE) in practice for North East India have been developed using limited or simulated datasets of recorded ground motions. The current study presents th... read more here.
Keywords: motion; ground; prediction equations; north east ... See more keywords
Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2748360
Abstract: There has been numerous seismic hazard studies so far that includes Malaysian territories. However, there is a need to assess how reliable those studies are. Two main potential contributors to error have been identified: 1)… read more here.
Keywords: subduction; ground motion; due subduction; motion prediction ... See more keywords
Deep Learning for 3D Human Motion Prediction: State-of-the-Art and Future Trends
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163269
Abstract: Due to the success of deep learning in wide range of computer vision and computer graphics tasks, there is an increasing number of developed methods leveraging deep neural networks to solve human motion prediction. Recent… read more here.
Keywords: prediction methods; human motion; motion prediction; deep learning ... See more keywords