Abstract: This paper explores the application of reinforcement learning (RL) algorithms in optimizing personalized cognitive behavioral therapy (CBT) for anxiety disorders. Traditional CBT often lacks ...
The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI ...
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Abstract: In an era where cyber attacks are getting increasingly complex, the incorporation of machine learning (ML) algorithms into cybersecurity processes has emerged as a crucial technique for ...
Introduction The proliferation of deepfake technology, synthetic media generated using advanced artificial intelligence techniques, has emerged as a ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
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