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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2955712
Abstract: Sensor drift is a well-known issue in the field of sensors and measurement. It has plagued the sensor community for many years. In this paper, we propose a sensor drift correction method to deal with…
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Keywords:
subspace projection;
approach;
drift;
sensor drift ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3565330
Abstract: The advancement in computing power has significantly reduced the training times for deep learning, enabling the rapid development of networks designed for object recognition. However, the exploration of object utility, the object’s affordance, as opposed…
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Keywords:
pre trained;
method;
affordance;
manifold curvature ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3355213
Abstract: Clutter removal in ground-penetrating radar (GPR) based on deep learning has been studied in recent years. However, existing methods are primarily designed for homogeneous background conditions and utilize only local spatial information via the convolution…
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Keywords:
heterogeneous clutter;
subspace projection;
clutter removal;
network ... See more keywords
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Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2016.2622715
Abstract: Dynamic contrast-enhanced magnetic resonance angiography (DCE MRA) has been widely used as a clinical routine for diagnostic assessment of vascular morphology and hemodynamics. It requires high spatial and temporal resolution to capture rapid variation of…
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Keywords:
angiogram separation;
subspace projection;
dynamic contrast;
subspace ... See more keywords
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Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3066787
Abstract: A large number of applications in decentralized signal processing includes projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. Accomplishing such a task in a centralized…
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Keywords:
subspace projection;
projection;
shift operators;
shift ... See more keywords
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Published in 2022 at "Advances in Structural Engineering"
DOI: 10.1177/13694332211056107
Abstract: This paper proposes a data-driven method using subspace projection residual of the responses to identify the damage locations in bridges subjected to moving loads. In this method, a moving window with a certain length determined…
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Keywords:
projection residual;
projection;
damage;
moving loads ... See more keywords