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   Articles with "event classification" as a keyword



Improved Convolutional Neural Networks for Acoustic Event Classification

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recommendations! 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

Comprehensive Dataset for Event Classification Using Distributed Acoustic Sensing (DAS) Systems

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recommendations! Published in 2025 at "Scientific Data"

DOI: 10.1038/s41597-025-05088-4

Abstract: Distributed Acoustic Sensing (DAS) technology leverages optical fibers to detect acoustic signals over long distances, offering high-resolution data critical for applications such as seismic monitoring, structural health monitoring, and security. A significant challenge in DAS… read more here.

Keywords: classification; event classification; das systems; acoustic sensing ... See more keywords

Feedback Module Based Convolution Neural Networks for Sound Event Classification

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recommendations! 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

Deep Learning-Based Intrusion Detection and Impulsive Event Classification for Distributed Acoustic Sensing Across Telecom Networks

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recommendations! Published in 2024 at "Journal of Lightwave Technology"

DOI: 10.1109/jlt.2024.3401244

Abstract: We introduce two pioneering applications leveraging Distributed Fiber Optic Sensing (DFOS) and Machine Learning (ML) technologies. These innovations offer substantial benefits for fortifying telecom infrastructures and public safety. By harnessing existing telecom cables, our solutions… read more here.

Keywords: detection; event classification; impulsive event; intrusion detection ... See more keywords
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Earthquake Event Classification Using Multitasking Deep Learning

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recommendations! 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

Feedback Network With Curriculum Learning for Earthquake Event Classification

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recommendations! 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

Learnable Maximum Amplitude Structure for Earthquake Event Classification

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recommendations! 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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recommendations! 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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recommendations! 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

A Two-Stage Earthquake Event Classification Model Based on Diffusion Probability Model

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3479327

Abstract: Rapid and accurate classification of earthquake (eq) events is a serious challenge in seismology and disaster mitigation. Problems, such as data imbalance, model interpretability, and model generalization, limit the application of artificial intelligence methods in… read more here.

Keywords: classification; event classification; model; two stage ... See more keywords

Validation of GPT‐4 for clinical event classification: A comparative analysis with ICD codes and human reviewers

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recommendations! Published in 2024 at "Journal of Gastroenterology and Hepatology"

DOI: 10.1111/jgh.16561

Abstract: Effective clinical event classification is essential for clinical research and quality improvement. The validation of artificial intelligence (AI) models like Generative Pre‐trained Transformer 4 (GPT‐4) for this task and comparison with conventional methods remains unexplored. read more here.

Keywords: validation gpt; event classification; clinical event;