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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3156982
Abstract: Simultaneous localization and mapping (SLAM) has been studied for decades in the field of robotics, in which light detection and ranging (LiDAR) is widely used in various application areas benefiting from its accessibility of direct,…
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Keywords:
pca based;
slam;
two stage;
based feature ... See more keywords
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Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2790481
Abstract: Robust principal component analysis, which extracts low-dimensional data from high-dimensional data, can also be regarded as a source separation problem of the sparse error matrix and the low-rank matrix. Until recently, various methods have attempted…
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Keywords:
source separation;
based incoherence;
separation;
incoherence ... See more keywords
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Published in 2017 at "International Journal of Computing"
DOI: 10.12785/ijcds/060503
Abstract: The presented work is dedicated towards deep understanding of resulting Electroencephalography (EEG) brainwaves during a typical grasp and lift human grasping task. During grasping, forces are applied by fingertips dexterously, as observed through resulting EEG…
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Keywords:
robotics;
pca based;
eeg waves;
grasping pca ... See more keywords
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Published in 2022 at "Materials"
DOI: 10.3390/ma15186477
Abstract: In order to forecast the axial load-carrying capacity of concrete-filled steel tubular (CFST) columns using principal component analysis (PCA), this work compares hybrid models of artificial neural networks (ANNs) and meta-heuristic optimization algorithms (MOAs). In…
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Keywords:
optimization;
pca based;
capacity;
concrete filled ... See more keywords