Abstract: Dental pathology detection and tooth type categorization are crucial yet often error-prone and time-consuming tasks in dental diagnostics. This paper presents a novel approach using ...
Automatically activated transvenous phrenic nerve stimulation achieved 5.7 to 6.0 hours of nightly use and greater than 80% adherence through 18 months, supporting its potential to improve sustained ...
Abstract: Automatic modulation classification (AMC) of radar signals is a crucial technique in modern electromagnetic warfare. Recently, various AMC methods using deep learning (DL) have been proposed ...
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