Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...
AI-Driven Visual Intelligence forms a critical cornerstone of both computer vision and artificial intelligence, serving ...
Abstract: Cognitive radio has emerged as a viable solution to address the challenge of spectrum scarcity in modern wireless communication systems. Spectrum sensing, a crucial component of cognitive ...
Machine learning models can predict postoperative hyperopic shift in patients with primary angle-closure glaucoma.
Abstract: The current challenge, in the cyber world is to identify and categorize software. To tackle this machine learning can be utilized to detect and classify malware by analyzing patterns, ...
Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...
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