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  1. Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

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  2. Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

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  3. EMaP: Explainable AI with Manifold-based Perturbations

    Published in JMLR (2026)
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  4. AT‐AER: Adversarial Training With Adaptive Example Reuse

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  5. Multi‐Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks

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  6. Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

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  7. A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling

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  8. Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

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  9. A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication

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  10. Transformation‐Equivariant Network Fused With Multi‐Stage Cascade Attention for Point Cloud Object Detection

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  11. Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

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  12. Dynamic Facial Expression Recognition of Learners via Adaptive Global Attention and Differential Temporal Transformer

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  13. An Object Detection Algorithm Based on Deep Learning and Salient Feature Fusion for Roadside Surveillance Camera

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  14. Autoencoders in Function Space

    Published in JMLR (2026)
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  15. Brain‐RetinaNet: Detection of Brain Tumour Using an Improved RetinaNet in Magnetic Resonance Imaging

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  16. Optimising Wave Energy Plant Location Through Neutrosophic Multi‐Criteria Group Decision‐Making

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  17. MVI‐Depth: Multi‐View Indoor Depth Estimation Based on the Fusion of Semantic Information

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  18. TCSR‐SQL: Towards Table Content‐Aware Text‐to‐SQL With Self‐Retrieval

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  19. Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation

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