Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
Abstract: Infrared emissivity constitutes a crucial parameter for noncontact temperature measurement via infrared detectors. This article investigates noncontact measurement approaches for the ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Inspired by dynamic taint tracking, PoisonSpot uses fine-grained training provenance tracker that: (1) tags & traces the impact of every single training sample on model updates, (2) probabilistically ...
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