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We used the pre-trained xECGArch15 to classify 1521 unseen ECGs into AF and n-AF. Subsequently model explanations were extracted in terms of each sample’s relevance for...
Clinical free text preprocessing and institutional pairwise analyses The final dataset consisted of 1,607,393 procedures: 44 institutions covering 48 distinct anesthesiology CPT codes (From 3,566,343 procedures,...
We’re learning more about how law enforcement responded to a hoax 911 call last Thursday that falsely reported an active shooter on the University of Tennessee...
The proposed smart agriculture system integrates agricultural consumer electronics, machine learning models and the sensor data processing to optimize crop yield for sustainable agriculture. The data...
The original version of this story appeared in Quanta Magazine. We were once promised self-driving cars and robot maids. Instead, we’ve seen the rise of artificial...
The advance of cutting-edge AI is showing signs of slowing. For many companies looking to harness the technology, that wouldn’t be a terrible thing. Excitement about...
In this work, we demonstrated the ability of LLMs to solve ethical dilemmas in the medical context. All models, except Mistral, consistently outperformed random guessing on...
This research introduces a novel NGOAI-ANER methodology for the Moroccan dialect. The methodology aims to enhance the precision and efficiency of NER systems for Arabic text....
This paper proposes a novel CREA-HDLMOA methodology. Its primary goal is to advance an effective method for DDoS attack detection using advanced optimization algorithms. The methodology...
Research background and motivations In higher education, English teaching is considered a crucial subject, and its teaching quality and assessment effectiveness have always been a focus...