Canonical correlation analysis (CCA) and its improved algorithms play an important role for SSVEP classification, mainly focusing on improving the signal-to-noise ratio by reducing the electroencephalogram (EEG) backg...
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This paper primarily explores methods for enhancing the performance of event element entity recognition tasks by enriching the positional information of vocabulary and focusing on document context. It proposes and imp...
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Aiming at the increasingly severe environmental pressure faced by logistics enterprises, we study the low-carbon vehicle path optimization problem in a multi-pathway environment. The multi-pathway network model is qua...
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Accurate project management workload assessment is critical to the success of software development projects, and research on methods to address the workload assessment problem itself is scarce. The existing assessment...
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A new hybrid approach for diagnosing schizophrenia combines graph convolutional networks (GCNs) with long short-term memory (LSTM) networks, leveraging GCNs for spatial connectivity and LSTMs for temporal modeling. Th...
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This paper studies the integrated fishery environmental scientific survey vessel system, which has the topology and data flow model of the scientific survey vessel information system with the time series database. The...
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Automatic production is closely linked with industrial robots. However, the precision of robot positioning significantly impacts the stability of the automation system. To address this issue, we establish an industria...
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The problem of cyberbullying is common on social media and online platforms, but it requires more advanced detection techniques. The below-captioned article suggests a holistic method to recognize cyberbullying utiliz...
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The current research provides a literature evaluation of works from sources such as IEEE and science Direct that explore testing and analysis methodologies and approaches for smart contracts. Smart contracts built on ...
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In this paper, authors propose a spatial difference Toeplitz algorithm for effective direction of arrival (DOA) estimation of mixed signals that contain both uncorrelated and coherent components. Unlike existing metho...
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