Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation

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Lightweight Hybrid Wafer Defect Pattern Network Based on Feedforward Efficient Attention

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Robotic Cell Micromanipulation Skill Learning via Imitation‐Enhanced Reinforcement Learning

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Tibetan Data Augmentation via GAN‐Based Handwritten Text Generation

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Multi‐Scale Transformer for Image Restoration

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Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

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Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism

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Design and Validation of Zeroing Neural Network With Active Noise Rejection Capability for Time‐Varying Problems Solving

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Fixed‐Time Zeroing Neural Dynamics for Adaptive Coordination of Multi‐Agent Systems

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Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning

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Dynamic Neural‐Model‐Based Predictive Control for Autonomous Wheel‐Legged Robot System

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AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning

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Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

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Towards Interpretable Face Morphing via Unsupervised Learning of Layer‐Wise and Local Features

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UNO: Unified Self‐Supervised Monocular Odometry for Platform‐Agnostic Deployment

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Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

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System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

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Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso

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Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters

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A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

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