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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…
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Keywords:
confidence;
radiotherapy;
prediction confidence;
motion prediction ... See more keywords
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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…
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Keywords:
motion;
period;
spectral ratios;
ground motion ... See more keywords
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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…
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Keywords:
time varying;
time;
teleoperation;
motion prediction ... See more keywords
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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…
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Keywords:
ship motion;
attention;
motion prediction;
lstm ship ... See more keywords
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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…
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Keywords:
ground;
physics;
motion prediction;
physics based ... See more keywords
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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…
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Keywords:
motion;
human arm;
motion prediction;
prediction ... See more keywords
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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...
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Keywords:
motion;
ground;
prediction equations;
north east ... See more keywords
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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)…
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Keywords:
subduction;
ground motion;
due subduction;
motion prediction ... See more keywords
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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…
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Keywords:
prediction methods;
human motion;
motion prediction;
deep learning ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3188892
Abstract: Human motion prediction (HMP) predicts future human pose sequences given the past ones. HMP has recently attracted attention in computer vision and the robotics domain as it helps machines understand human behavior, plan target actions…
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Keywords:
physics;
pimnet;
motion prediction;
human motion ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3207347
Abstract: Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal causalities, vehicle damages and a predicament in the pathway to safer road systems. Automated Vehicles (AVs) have been a potential attempt in lowering the…
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Keywords:
motion prediction;
interaction;
prediction;
road users ... See more keywords