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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Chun Ji

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Open access Oct 2026

An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexia

Attention-deficit/hyperactivity disorder (ADHD) and developmental dyslexia (DD) are highly comorbid, yet objective differentiation from individual disorders remains challenging due to the lack of neurophysiological biomarkers. This study aimed to develop an interpretable machine learning model leveraging multidimen...

Ke-Duo Huang, Peng-Xiang Zuo, Xue-Mei Luo et al. · 0 citations
Open access Aug 2026

An interpretable machine learning screening model for MoCA-defined possible mild cognitive impairment in rural Xinjiang: a preliminary framework for resource-limited primary care

An interpretable screening model for MoCA-defined possible MCI tailored to rural Xinjiang is developed and validated by integrating established machine learning techniques within a localized framework, offering moderate discriminative performance and useful interpretability for preliminary screening purposes.

Yu-Tong Li, Li-Li He, Jia-Huan He et al. · 0 citations

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