Electroencephalography (EEG) signals provide a unique opportunity for personal identification due to their inherent permanence and uniqueness. However, EEG data are complex, multidimensional, ...

An LSTM + Attention neural network that scans a universe of US stocks and ETFs and selects the single best hold candidate for the next 3 trading days.

This study tested the specific hypothesis that age-related changes to hearing involve a partial loss of synapse connections between sensory cells in the ear and the nerve fibers that carry information ...

Abstract: Biometric authentication has grown fast, and for good reason - verifying identity matters more now than it did a decade ago. The problem is that the dominant methods have not kept up.

The workflow illustrates data acquisition from wearable sensors, hierarchical temporal feature extraction at multiple granularities, multimodal alignment with clinical text knowledge, and dual-task ...

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