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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195894
Abstract: In Latin America, cities are characterized by uncontrolled urban growth and locations in critical geographic areas. This factor affects an individual’s ability to react efficiently to an action known as resilience to disasters caused by…
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Keywords:
resilience;
network;
latin america;
merger network ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3264723
Abstract: The road network graph is a critical component for downstream tasks in autonomous driving, such as global route planning and navigation. In the past years, road network graphs are usually annotated by human experts manually,…
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Keywords:
road network;
network graph;
network;
segmentation ... See more keywords
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Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2018.2832469
Abstract: The goal of this paper is to explore the relationship between the network graph of a state-space representation of an observed process and the causal relations among the components of that process. We will show…
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Keywords:
network graph;
state space;
graph;
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Published in 2020 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2019.2901716
Abstract: Online social networks (OSNs) often refuse to publish their social network graphs due to privacy concerns. Recently, differential privacy has become the widely accepted criteria for privacy preserving data publishing. Although some work has been…
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Keywords:
social network;
network graph;
differential privacy;
publishing social ... See more keywords
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Published in 2017 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2015.2508740
Abstract: This paper studies the problem of multistage placement of electric vehicle (EV) charging stations with incremental EV penetration rates. A nested logit model is employed to analyze the charging preference of the individual consumer (EV…
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Keywords:
charging stations;
placement;
placement charging;
network graph ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2022.3216099
Abstract: In graph signal processing, the shift-enabled property of an underlying graph is essential in designing distributed filters. This article discusses when a random network graph is shift-enabled. In particular, popular network graph models Erdős–Rényi (ER),…
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Keywords:
network graph;
random network;
shift;
shift enabled ... See more keywords