Articles with "event classification" as a keyword



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Improved Convolutional Neural Networks for Acoustic Event Classification

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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… read more here.

Keywords: event classification; neural networks; acoustic event; convolutional neural ... See more keywords

Feedback Module Based Convolution Neural Networks for Sound Event Classification

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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… read more here.

Keywords: feedback module; event classification; classification; sound event ... See more keywords
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Earthquake Event Classification Using Multitasking Deep Learning

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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… read more here.

Keywords: earthquake; classification using; event classification; event ... See more keywords
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Feedback Network With Curriculum Learning for Earthquake Event Classification

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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… read more here.

Keywords: curriculum learning; earthquake event; feedback network; event classification ... See more keywords
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Learnable Maximum Amplitude Structure for Earthquake Event Classification

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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… read more here.

Keywords: earthquake event; earthquake; event classification; maximum amplitude ... See more keywords
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Multimodal Semantics-Based Supervised Latent Dirichlet Allocation for Event Classification

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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… read more here.

Keywords: social event; model; event classification; semantics ... See more keywords

Microseismic Event Classification With Time-, Frequency-, and Wavelet-Domain Convolutional Neural Networks

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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,… read more here.

Keywords: time; wavelet; microseismic event; event classification ... See more keywords
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Noise-Robust Sound-Event Classification System with Texture Analysis

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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… read more here.

Keywords: classification; sound event; noise robust; sound ... See more keywords