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Published in 2020 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-019-1207-6
Abstract: This paper proposes a solution to localization and classification of rice grains in an image. All existing related works rely on conventional based machine learning approaches. However, those techniques do not do well for the…
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Keywords:
rice;
classification rice;
localization classification;
convolutional neural ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3186933
Abstract: Convolutional neural networks (CNNs) have been successfully applied in the computer-aided ultrasound diagnosis for breast cancer. Up to now, several CNN-based methods have been proposed. However, most of them consider tumor localization and classification as…
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Keywords:
resnet gap;
classification;
localization classification;
breast cancer ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3614680
Abstract: The use of deep learning (DL) for sound event localization and classification with wireless acoustic sensor networks (WASNs) is an emerging research area. However, current methods for sound event localization and classification exhibit limitations in…
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Keywords:
localization classification;
event;
event localization;
sound event ... See more keywords
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Published in 2017 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.4987282
Abstract: In therapeutic high intensity focused ultrasound (HIFU) applications, cavitation mapping is a powerful tool to monitor and guide the treatment procedure. Furthermore, the frequency spectrum of the cavitation activity can be used to classify the…
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Keywords:
cavitation;
passive localization;
group;
localization classification ... See more keywords
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Published in 2025 at "Optics express"
DOI: 10.1364/oe.550513
Abstract: Real-time localization and classification of fast-moving objects are crucial in various applications. Traditional imaging approaches face significant challenges, including large data requirements, limited update rates, motion blur, and restrictions in non-visible wavelengths. This paper proposes…
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Keywords:
localization classification;
target;
real time;
localization ... See more keywords