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        Hybrid deep learning with stacked dilated causal convolutions for health forecasting using multivariate time-series data 

        Mossop, Brandon (2022)
        Health forecasting using time-series data facilitates preventive medicine and healthcare interventions by predicting future health events. This thesis introduces a novel hybrid deep-learning architecture for health ...
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        Toward lightweight fusion of AI logic and EEG sensors to enable ultra edge-based EEG analytics on IoT devices 

        Tazrin, Tahrat (2021)
        Electroencephalogram (EEG) analysis has garnered attention in the research domain due to its ability to detect various neural activities starting from brain seizures to a person’s concentration level. To make it more ...

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