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Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9495-z
Abstract: There are two interesting properties in human brain. One is its massively interconnected structure. Another one is that human can handle outlier data effectively. For instance, human is able to recognize an object from an…
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Keywords:
network;
lagrange programming;
time arrival;
neural network ... See more keywords
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Published in 2021 at "Optik"
DOI: 10.1016/j.ijleo.2020.165871
Abstract: Abstract For the estimation methods of the pulsar TOA (time-of-arrival) based on CS (compressed sensing), it is very important to construct the measurement matrix, which affects accuracy and computation load directly. Subjected to computational load,…
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Keywords:
estimation;
matrix;
time;
optimized emd ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-02412-x
Abstract: To avoid collisions, pedestrians depend on their ability to perceive and interpret the visual motion of other road users. Eye movements influence motion perception, yet pedestrians’ gaze behavior has been little investigated. In the present…
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Keywords:
vehicle;
eye movements;
time arrival;
gaze behavior ... See more keywords
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Published in 2022 at "Journal of Pediatric Orthopaedics"
DOI: 10.1097/bpo.0000000000002217
Abstract: Background: In the care of open fractures, time to antibiotic administration has been shown to be a critical factor in preventing infection. To help improve outcomes at our institution we designed and implemented an open…
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Keywords:
time;
administration;
antibiotic administration;
time arrival ... See more keywords
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Published in 2023 at "Physical Review Accelerators and Beams"
DOI: 10.1103/physrevaccelbeams.26.052801
Abstract: In this work, non-destructive virtual diagnostics are applied to retrieve the electron beam time of arrival and energy in a relativistic ultrafast electron diffraction (UED) beamline using independently-measured machine parameters. This technique has the potential…
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Keywords:
time;
ultrafast electron;
electron diffraction;
electron ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985353
Abstract: Self-calibration of time-of-arrival positioning systems is made difficult by the non-linearity of the relevant set of equations. This work applies dimension lifting to this problem. The objective function is extended by an additional dimension to…
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Keywords:
calibration time;
objective function;
self calibration;
time arrival ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3234123
Abstract: Location-based service in the indoor environment is playing a crucial role in different application scenarios. The introduction of technologies, such as ultradense network and massive multiple-input multiple-output enables fifth-generation (5G) cellular signals, as a new…
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Keywords:
arrival estimation;
indoor positioning;
machine learning;
time arrival ... See more keywords
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Published in 2019 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2018.2819779
Abstract: The purpose of this paper is to introduce an extended matched filter for hyperbolic frequency modulation (HFM) waveforms in active sonar systems, along with an exact closed-form solution for the Doppler bias in time of…
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Keywords:
doppler bias;
hfm;
matched filter;
time arrival ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3170917
Abstract: The estimated time of arrival (ETA) plays a vital role in intelligent transportation systems and has been widely used as a basic service in ride-hailing platforms. Obtaining a precise ETA is a challenging task due…
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Keywords:
time;
sparse data;
data learning;
sparse ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3200445
Abstract: With millions of people using ride-hailing platforms for daily travel, estimated time of arrival (ETA) has become a significant problem in intelligent transportation systems and attracted considerable attention recently. Deep learning-based ETA methods have achieved…
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Keywords:
metric learning;
data sparsity;
sparsity;
time arrival ... See more keywords
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Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2916016
Abstract: Time-of-Arrival (ToA) estimation becomes extremely challenging for ultra-wideband ranging systems in dense multipath environment with multiuser interference. In this paper, we propose a high accuracy joint ToA estimation (JToAE) algorithm, which can provide dominantly better…
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Keywords:
estimation;
multi user;
multipath environment;
time arrival ... See more keywords