Abstract: Cyberattacks pose a significant threat to internet security and may cause great damage to businesses. Machine learning methodologies have been widely used to detect cyber intrusions. This ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
then you can perform global matching (e.g., cosine similarity) or local matching (e.g., L2 loss) to obtain the matching results (referred to as the cost volume in this paper). These results can be ...
Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...
Multimodal turn detection that combines audio intonation and text context to accurately determine when a speaker has finished their turn in a conversation. The model projects audio embeddings into the ...
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