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DCASAM: advancing aspect-based sentiment analysis through a deep context-aware sentiment analysis model
Published 2024-08-01“…Our model achieves an average improvement in accuracy by 1.07% and F1 score by 1.68%, showcasing its robustness and efficacy in handling complex sentiment analysis tasks.These results highlight the potential of DCASAM for real-world applications, offering a solid foundation for future research in aspect-level sentiment analysis. …”
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Hybrid mechanism and data driven approach for high-precision modeling of gas flow regulation systems of VFDR
Published 2025-05-01“…Abstract The variable flow ducted rocket (VFDR) poses significant challenges for high-precision modeling due to its complex nonlinear dynamics, harsh operational conditions, and integration of multiple physical fields. …”
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Calibration between a panoramic LiDAR and a limited field-of-view depth camera
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CSTrans: cross-subdomain transformer for unsupervised domain adaptation
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An air combat maneuver decision-making approach using coupled reward in deep reinforcement learning
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Early stroke behavior detection based on improved video masked autoencoders for potential patients
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CL-fusionBEV: 3D object detection method with camera-LiDAR fusion in Bird’s Eye View
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Time-varying synergy/redundancy dominance in the human cerebral cortex
Published 2025-01-01“…In small sets of brain regions, our analyses reveal that subsets which are redundancy dominated on average exhibit the most complex dynamic behavior as well as the most synergistic and most redundant time points. …”
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Influence of model selection on optimal control of traffic for emissions minimisation
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Emergence of scaling in dockless bike-sharing systems for bike choice behavior
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Attribute grouping-based categorical outlier detection using causal coupling weight
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A Framework for Automatic IT Architecture Modeling: Applying Truth Discovery
Published 2019-10-01“…Modeling IT architecture is a complex, time consuming, and error prone task. However, many systems produce information that can be used for automating modeling. …”
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The Influence of Syntactic Quality on Pragmatic Quality of Enterprise Process Models
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