Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Abstract: Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To ...
NetAirus Technologies, a pioneer in electro-optical systems, today announced the introduction of the Panatem™ Artificial Intelligence (AI) framework, which is designed for the n ...
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