Articles with "delay prediction" as a keyword



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Time delay prediction for space telerobot system with a modified sparse multivariate linear regression method

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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)… read more here.

Keywords: delay prediction; time delay; time; telerobot system ... See more keywords
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Delay Prediction for ASIC HLS: Comparing Graph-Based and Nongraph-Based Learning Models

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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… read more here.

Keywords: nongraph based; learning models; graph based; hls ... See more keywords
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An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree

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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… read more here.

Keywords: time series; prediction; model; decision ... See more keywords
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Train Time Delay Prediction for High-Speed Train Dispatching Based on Spatio-Temporal Graph Convolutional Network

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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… read more here.

Keywords: train delay; spatio temporal; delay prediction; delay ... See more keywords
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Hybrid Recurrent Neural Network Modeling for Traffic Delay Prediction at Signalized Intersections Along an Urban Arterial

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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… read more here.

Keywords: traffic delay; traffic; signalized intersections; delay prediction ... See more keywords
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A Deep Graph-Embedded LSTM Neural Network Approach for Airport Delay Prediction

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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.… read more here.

Keywords: delay prediction; delay; deep graph; network ... See more keywords
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Flight Delay Prediction System

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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.… read more here.

Keywords: flight delay; delay prediction; prediction system; flight ... See more keywords