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Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2024.3350157
Abstract: This article proposes a disturbance-observer-based self-triggered distributed model predictive control (DSDMPC) algorithm with an adaptive prediction horizon mechanism for discrete-time nonlinear multiagent systems (MASs) with disturbances and system constraints. First, decentralized discrete-time nonlinear disturbance observers…
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Keywords:
disturbance;
adaptive prediction;
self triggered;
prediction horizon ... See more keywords
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Published in 2025 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2024.3525023
Abstract: Effective and efficient traffic prediction can provide a reliable data basis for traffic management in Intelligent Transportation Systems (ITS). While various machine learning methods have been proposed to enhance prediction accuracy in recent decades, there…
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Keywords:
adaptive prediction;
traffic data;
road;
prediction ... See more keywords
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Published in 2024 at "GEOPHYSICS"
DOI: 10.1190/geo2023-0195.1
Abstract: Random noise in seismic records affects the accuracy of effective signal identification, making it difficult for subsequent seismic data processing, imaging, and interpretation. Therefore, random noise attenuation has always been an important step in seismic…
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Keywords:
method;
random noise;
component;
multi component ... See more keywords
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Published in 2022 at "Frontiers in Integrative Neuroscience"
DOI: 10.3389/fnint.2022.810425
Abstract: Functional, structural, and cytoarchitectural differences in the cerebellum are consistently reported in Autism Spectrum Disorders (ASD). Despite this, the mechanisms governing cerebellar contributions to ASD, particularly within the sociocognitive domain, are not well understood. Recently,…
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Keywords:
social cognition;
cognition asd;
contributions social;
cerebellar contributions ... See more keywords