Introduction Psychotic disorders account for significant morbidity and healthcare costs and yet their pathophysiology remains poorly understood. The National Institute for Health and Care Research ...

Abstract: Neural networks (NNs) are efficient tools for rapidly obtaining geoelectric models to solve magnetotelluric (MT) inversion problems. Training an NN with strong predictive power requires ...

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Introduction Cannabis use is common in the USA and is associated with adverse outcomes across many domains, including sleep ...

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Abstract: On-device training of deep neural networks (DNNs) allows models to adapt and fine tune to newly collected data or changing domains while deployed on microcontroller units (MCUs). However, ...

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