ScienceDirect Publication: Information Sciences rss.sciencedirect.com

Polarization emergence and analysis in the coevolution of opinions and actions via synchronous CODA modeling approach

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Lightweight multi-client order-revealing encryption with limited leakage

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Towards reliable photovoltaic power interval forecasting: A novel cross-channel multi-scale fusion transformer with non-crossing multi-quantile learning

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Taming model multiplicity: A unified framework for delay-FPT enumeration of smallest interpretable models

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Hierarchical social network-based cross-departmental group consensus reaching considering externality effect

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AnchorDiffusion: High-fidelity local image editing via anchor-SAM masks and dynamic noise fusion

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LogPDGMoE: Log anomaly detection method based on MoE with parallel dual-noise gating network

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RHMGSA: Reinforcement learning-guided evolutionary search for critical node detection

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GCRdetector: Graph contrastive representation learning for urban anomaly detection

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Learning multi-pattern collaboration in multivariate time series via patch-GCN and time-attention

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Clustered stochastic gene circuits in dual-node heterogeneous systems: Adaptive learning strategies under a discrete spatio-temporal framework

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Approximate optimal fast terminal sliding mode control for autonomous surface vessels subject to input constraints and uncertainties

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Frequency–spatial decoupled co-modeling transformer for fine-grained remote sensing image segmentation

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Learning from easy to hard: Curriculum meta-learning for few-shot node classification

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Directional mask-aware diffusion for coherent object-background editing

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Approximating optimal μ -point distributions over a generaliz...

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Knowledge-driven domain adaptation network for diverse hazy image generation

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Federated surrogate-assisted evolutionary framework for distributed data-driven multiobjective optimization

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Infrared dim and small target detection method based on orthogonal directional saliency and segmented weight assignment

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HeliFed: A dual-helix framework for noise-robust federated learning

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