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Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4843-6
Abstract: A Wireless Sensor Network (WSN) has gained a tremendous attention of researchers with its dynamic applications. The constant monitoring of critical scenarios has make WSNs an attractive choice for researchers at a large scale. The…
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Keywords:
aggregation;
hierarchical data;
adaptive hierarchical;
wireless sensor ... See more keywords
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Published in 2021 at "Journal of Power Sources"
DOI: 10.1016/j.jpowsour.2021.230325
Abstract: Abstract Due to the characteristics of a significant difference between vehicle no-load and full load, time-varying double driving conditions, two-energy-source and two-energy-consumption-unit, and high coupling electromechanical-hydraulic system, this work studies two critical technologies, including powertrain…
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Keywords:
powertrain;
adaptive hierarchical;
strategy;
energy ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2886362
Abstract: This paper presents a new framework for human action recognition by fusing human motion with skeletal joints. First, adaptive hierarchical depth motion maps (AH-DMMs) are proposed to capture the shape and motion cues of action…
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Keywords:
action recognition;
skeletal joints;
adaptive hierarchical;
human action ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3133204
Abstract: Thelow-complexity RAHT (Region-Adaptive Hierarchical Transform) and its corresponding Dyadic decomposition have been incorporated in the MPEG (Moving Picture Expert Group) standardization for encoding the attribute values in 3D point clouds. While significant gains were observed…
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Keywords:
point clouds;
hierarchical transform;
dyadic raht;
region adaptive ... See more keywords
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Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2926733
Abstract: To promote the real-time application of the advanced energy management system in hybrid electric vehicles (HEVs), this paper proposes an adaptive hierarchical energy management strategy for a plug-in HEV. In this paper, deep learning (DL)…
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Keywords:
adaptive hierarchical;
hybrid electric;
hierarchical energy;
energy ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6464516
Abstract: Deep learning uses mechanical time-frequency signals to train deep neural networks, which realizes automatic feature extraction and intelligent diagnosis of fault features and gets rid of the dependence on a large number of signal processing…
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Keywords:
hierarchical clustering;
clustering subset;
method;
adaptive hierarchical ... See more keywords