„Dynamic Data Structures“
Suchergebnisse
2.252 Treffer
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Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion
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A hierarchical multi-channel multi-modality fusion strategy for integrating digital mammography and synthesized digital breast tomosynthesis for breast mass discrimination
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Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion
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STNet: a lightweight spectral transform framework for salient object detection
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A novel Mamba-hypergraph enhanced time-frequency fusion network for multivariate time series classification
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Beyond contrastive learning: adaptive graph representations with mutual information maximization for blockchain and structured data
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Model-output-based federated Bayesian optimization
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Spatial correspondence matching based feature fusion for object tracking with attention learning
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BDEKD: mitigating backdoor attacks in NLP models via ensemble knowledge distillation
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A multi-objective optimization framework based on information sharing for serially connected robot design
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Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing
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A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems
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A review of state-of-the-art techniques for large language model compression
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Logic-optimization behavior tree algorithm for enhanced autonomous underwater vehicle cooperative decision-making
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The heterogeneous federated recommendation framework based on adversarial training
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Enhancing aspect-based sentiment analysis with multiple-knowledge promotion and multi-perspective noise filtering
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Towards fair class-wise robustness: class optimal distribution adversarial training
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Hierarchical distributed edge data aggregation and reporting method based on cluster center selection
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SPSleepNet: enhancing EEG-based sleep staging for OSA patients via sleep position integration
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Life prediction and health assessment of aero-engine gas path using digital twin and deep learning