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Published in 2021 at "Mechatronics"
DOI: 10.1016/j.mechatronics.2021.102520
Abstract: Abstract Data-driven prediction methods often encounter problems in industrial applications due to noise, data redundancy, and insufficient labeled data. Preprocessing the data is required to improve prediction accuracy. At present, most data preprocessing methods are…
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Keywords:
consumption prediction;
power consumption;
fusion data;
data preprocessing ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3595226
Abstract: Imaging sonar, as an efficient sensor for underwater observation and measurement, plays a very important role in the positioning and mapping of autonomous underwater vehicles (AUVs). Compared to visual simultaneous localization and mapping (SLAM) susceptible…
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Keywords:
slam;
preprocessing method;
novel sonar;
sonar image ... See more keywords
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Published in 2019 at "International Journal on Advanced Science, Engineering and Information Technology"
DOI: 10.18517/ijaseit.9.2.8615
Abstract: Cerebral infarction is one of the causes of ischemic stroke in the brain, and machine learning can be used in the detection of cerebral infarction in the brain. In diagnosing the presence of cerebral infarction…
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Keywords:
hybrid preprocessing;
method;
machine;
cerebral infarction ... See more keywords
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Published in 2024 at "Photonics"
DOI: 10.3390/photonics11030226
Abstract: A novel preprocessing method based on a modified U-NET is proposed for single interference fringes. The framework is constructed by introducing spatial attention and channel attention modules to optimize performance. In this process, interferometric fringe…
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Keywords:
method;
preprocessing method;
interference fringes;
interferometric fringe ... See more keywords