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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6991-4
Abstract: To further exploit the potential performance of convolutional neural networks in acoustic event classification, an improved convolutional neural network called AecNet (Acoustic event classification net) is proposed. For traditional convolutional neural network lacks the representation…
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Keywords:
event classification;
neural networks;
acoustic event;
convolutional neural ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3126004
Abstract: Sound event classification is starting to receive a lot of attention over the recent years in the field of audio processing because of open datasets, which are recorded in various conditions, and the introduction of…
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Keywords:
feedback module;
event classification;
classification;
sound event ... See more keywords
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Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2996640
Abstract: This letter proposes an attention-based convolutional neural network architecture for multitasking learning to accurately classify not only the presence of an earthquake but also the event type of the earthquake. In particular, to improve the…
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Keywords:
earthquake;
classification using;
event classification;
event ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3097041
Abstract: In this letter, we propose an earthquake event classification model utilizing a feedback network and curriculum learning (CL). In particular, we propose the CL method with a feature concatenation using gated convolution so that CL…
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Keywords:
curriculum learning;
earthquake event;
feedback network;
event classification ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3145387
Abstract: Recently, most research has been conducted to minimize damage from earthquakes by establishing an early warning system through the analysis of short seismic waves. In particular, deep learning is widely used as it allows to…
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Keywords:
earthquake event;
earthquake;
event classification;
maximum amplitude ... See more keywords
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Published in 2021 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2021.3077915
Abstract: Social event classification has always been a research topic of great interest in the field of social event analysis. In existing social event classification methods, although some researchers consciously use external semantics to improve model…
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Keywords:
social event;
model;
event classification;
semantics ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3262412
Abstract: Passive seismics help us understand subsurface processes, for example, landslides, mining, geothermal systems, and so on and help predict and mitigate their effects. Continuous monitoring results in long seismic records that may contain various sources,…
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Keywords:
time;
wavelet;
microseismic event;
event classification ... See more keywords
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Published in 2018 at "Symmetry"
DOI: 10.3390/sym10090402
Abstract: Sound-event classification has emerged as an important field of research in recent years. In particular, investigations using sound data are being conducted in various industrial fields. However, sound-event classification tasks have become more difficult and…
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Keywords:
classification;
sound event;
noise robust;
sound ... See more keywords