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

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

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Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

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Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

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

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

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Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

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

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Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

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

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

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AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer

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

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

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A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs

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

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Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

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A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

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Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

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Boosted unsupervised feature selection for tumor gene expression profiles

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