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Published in 2020 at "Acta Astronautica"
DOI: 10.1016/j.actaastro.2019.10.027
Abstract: Abstract Compared with general telerobot system, space telerobot system (STS) faces with more serious and complex time delay. In time delay prediction, the traditional sparse multivariate linear regressive (SMLR), auto regressive (AR), neural network (NN)…
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Keywords:
delay prediction;
time delay;
time;
telerobot system ... See more keywords
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Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3197977
Abstract: While high-level synthesis (HLS) tools offer faster design of hardware accelerators with different area versus delay tradeoffs, HLS-based delay estimates often deviate significantly from results obtained from ASIC logic synthesis (LS) tools. Current HLS tools…
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Keywords:
nongraph based;
learning models;
graph based;
hls ... See more keywords
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Published in 2023 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3181453
Abstract: High-speed train delay prediction has always been one of the important research issues in the railway dispatching. Accurate and interpretable delay prediction can enable staff to implement preventive measures and scheduling decisions in advance, and…
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Keywords:
time series;
prediction;
model;
decision ... See more keywords
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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3097064
Abstract: Train delay prediction can improve the quality of train dispatching, which helps the dispatcher to estimate the running state of the train more accurately and make reasonable dispatching decision. The delay of one train is…
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Keywords:
train delay;
spatio temporal;
delay prediction;
delay ... See more keywords
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Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3201880
Abstract: This paper studies the traffic delay prediction modeling for multiple signalized intersections along the Ala Moana Boulevard and Nimitz Highway in Hawaii. Several machine learning (ML) based approaches have been studied in the literature, and…
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Keywords:
traffic delay;
traffic;
signalized intersections;
delay prediction ... See more keywords
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1
Published in 2021 at "Journal of Advanced Transportation"
DOI: 10.1155/2021/6638130
Abstract: Due to the strong propagation causality of delays between airports, this paper proposes a delay prediction model based on a deep graph neural network to study delay prediction from the perspective of an airport network.…
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Keywords:
delay prediction;
delay;
deep graph;
network ... See more keywords
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Published in 2020 at "International journal of engineering research and technology"
DOI: 10.17577/ijertv9is030148
Abstract: Flight Planning is one of the challenges in industrial world which faces many uncertain conditions. One such condition is delay occurrence, which stems from various factors and imposes considerable costs on airlines, operators, and travelers.…
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Keywords:
flight delay;
delay prediction;
prediction system;
flight ... See more keywords