Automatic vehicle detection and classification systems have recently been utilized in various fields. Although the applications in this field generally focus on civilian land vehicles (mostly automobiles), relatively ...
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With the rapid development of medical imaging technology, Computed Tomography (CT) has become an indispensable tool in medical diagnosis. However, in the application of medical image segmentation, there are still some...
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There is no established metric for measuring urban smartness at this time. Various writers use various metrics to assess smart city transportation systems. The assessment indicators for the transport system that were ...
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The research is aimed at improvement of multi-spectral image analysis for remote sensing and monitoring the environment at various ecosystems. A combined spectral imagery encompasses several spectrums at a time compar...
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The proceedings contain 148 papers. The topics discussed include: proposed hybrid attribute selection method on financial data sets;classification of Turkish cuisine with deep learning on mobile platform;performance e...
ISBN:
(纸本)9781728139647
The proceedings contain 148 papers. The topics discussed include: proposed hybrid attribute selection method on financial data sets;classification of Turkish cuisine with deep learning on mobile platform;performance evaluation of capacitated minimum spanning tree algorithms for wireless sensor networks;credit card fraud detection with machine learning methods;intrusion detection using machine learning and deep learning techniques;automatic detection of word substitutions within a language over periods of time;and diagnophone: an electronic stethoscope for respiratory audio analysis.
In the past decade, there has been a significant shift in the way we consume and utilize visual media. The swift evolution in smartphone cameras has made photography and videography available to a large audience and t...
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To address the challenge of effectively evaluating ISAR image similarity under multi-precision fusion processing, this paper proposes a Fine-Grained Weighted Entropy (FGWE)-based image similarity evaluation method. Th...
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multi-rotor drones are celebrated for their flexibility and efficiency, and are extensively employed in agriculture, mapping, and leisure activities. Nonetheless, the altitude sensors of these drones can sometimes be ...
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Low-density lattice codes (LDLC) are a new type of lattice codes that can be decoded effectively and achieve performance levels near the capacity of the additive white Gaussian noise (AWGN) channel. Earlier designs of...
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multi-task scheduling of heterogeneous big data network information is proposed to improve the optimal configuration and application ability of network big data resources. A multi-task scheduling method of heterogeneo...
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