The dynamic simulation of the ship dynamics model using non-parametric identification can achieve high-precision simulation of the ship simulator and adaptive control of the intelligent *** order to reduce the error i...
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Within the contemporary context of smart city infrastructures, the Internet of Medical Things (IoMT) has the capacity to instigate a revolution in urban monitoring. Despite recent advancements, conventional face recog...
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We investigate a model of sequential decision-making where a single alternative is chosen at each *** focus on two objectives-utilitarian welfare (UTIL) and egalitarian welfare (EGAL)-and consider the computational co...
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The presence of missing values in time series datasets poses significant challenges for accurate data analysis and modeling. In this paper, we present a comparative study of missing value imputation algorithms applied...
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Language recognition technology plays a crucial role in automated speech processing within multilingual environments, particularly under the globalized context where the increasing linguistic diversity poses higher de...
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This paper presents a structure-coupled sparse Bayesian learning method for building layout reconstruction using through-the-wall radar. We characterize the azimuth continuity of the wall and two-dimensional extensibi...
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The balise transmission system (BTS) plays a vital role in ensuring reliable ground communication of railway traffic. However, due to the natural loss of circuit operation, harsh working environment and high operating...
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This paper addresses adaptive radar detection in scenarios with incomplete observations due to measurement errors, sensor failures, or outliers, where the target is embedded in compound Gaussian clutter with unknown c...
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In this paper, a two-dimensional off-grid direction of arrival (DOA) estimation strategy based on sparse Bayesian learning (SBL) is proposed for improving the two-dimensional DOA estimation accuracy of millimeter-wave...
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Multi-frame Full-rank Spatial Covariance Analysis (mfFCA) is a technique for a blind source separation method and can be applied to reverberant underdetermined conditions where the sources outnumber the microphones an...
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