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  1. AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

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  2. Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning

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  3. Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

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  4. Multi‐Scale Spatio‐Temporal Transformer Network for Intelligent Healthcare and Transportation Systems: A Generative AI Approach

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  5. Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

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  6. From Distributed Noisy Data to Event‐Triggered Pinning Observer‐Based Control

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  7. RAGLRO: Retrieval‐Augmented Generation With Large Language Models for Robotic Operations

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  8. Distribution Estimation under the Infinity Norm

    Published in JMLR (2026)
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  9. Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

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  10. TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward

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  11. HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

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  12. MSFFNet: Multiscale Feature Fusion Network for Small Target Detection in Remote Sensing Images

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  13. AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer

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  14. Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images

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  15. A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

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  16. A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs

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  17. MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

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  18. Extending Temperature Scaling with Homogenizing Maps

    Published in JMLR (2026)
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  19. Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

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