Abstract: This study explores the use of deep learning models for detecting blood clots in medical images, focusing on how preprocessing and image slicing affect performance. The large size of medical ...
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 ...
Abstract: Email spam detection remains a critical task in maintaining secure digital communication. While machine learning has significantly improved spam filtering accuracy, conventional approaches ...
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