With the development of Internet technology, the concept of intelligent fire protection has been proposed. To achieve intelligent fire protection, it is necessary to conduct accurate research and real-time monitoring ...
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Blockchain technology has become more widespread in our lives revolutionizing various industries through improved security, transparency, and operational efficiency. Its decentralized ledger system is particularly eff...
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Although yoga is recognized for its positive effects on both physical and mental health, injuries can occur from improper positioning while practicing. To tackle this issue, I introduce a real-time yoga pose detection...
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Robotic arms are increasingly being used in collaborative environments, requiring an accurate understanding of human intentions to ensure both effectiveness and safety. Electroencephalogram (EEG) signals, which measur...
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When it comes to Field-Oriented Control (FOC) drives for Permanent Magnet Synchronous Motors (PMSMs), Proportional-Integral (PI) controllers are steadily the default. When challenged with sudden variations in load, PI...
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With the rise of artificial intelligence, the application of computer vision technology in the construction safety management of construction engineering is increasingly *** the application of computer vision technolo...
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In recent years, end-to-end autonomous driving technology has experienced rapid advancement. Unlike traditional rule-based automated driving systems, it employs neural networks to directly map sensor data to vehicle c...
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Research on oracle bone inscription image retrieval is important for applications in academic and cultural heritage areas. The current oracle bone dataset faces problems such as the low similarity between the same cat...
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Deep learning techniques have significantly improved the accuracy and efficiency of change detection of very high resolution (VHR) images. However, many current models ignore the inherent heterogeneity of bi-temporal ...
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This work contributes to the detection of regions of interest on images and their corresponding classification in medical imaging applications by introducing an image segmentation network that consists of four stages....
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ISBN:
(纸本)9783031762727;9783031762734
This work contributes to the detection of regions of interest on images and their corresponding classification in medical imaging applications by introducing an image segmentation network that consists of four stages. In the first stage, multi-resolution processing is applied to outline regions where further segmentation and classification are to be conducted. Subsequently, a quad-tree division stage followed by a clustering stage deliver an image that is divided into unlabeled clusters. The output stage assigns each cluster to one class. This architecture offers flexibility in the input and output stages since this network can be fed with images of any size and the output stage can be implemented with any traditional classification model such as k-nearest neighbors, multi-layer perceptron, and support vector machine. Another contribution of this work is that this network does not rely on a very large number of annotated images for its training.
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