Temporal and Spatial Analysis of the Relationship Between Atmospheric CO₂ Concentration and Precipitation in Türkiye Based on Satellite Data

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

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Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

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Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

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On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

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Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

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On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

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Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

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On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory

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The Accuracy in Rupture Risk Prediction of Intracranial Aneurysms by Artificial Intelligence Algorithms Using Imaging Data From CTA and DSA: A Systematic Review and Meta‐Analysis

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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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Input-To-State Stable Sampled-Data Synchronisation Of Markovian Jump Lur’e Networks Under Actuator Saturation

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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos

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On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations

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Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data

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The application of blockchain and smart contracts in the trusted evidence storage of carbon trading data of listed companies

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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos

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On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations

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