The students learned various anatomy and physiology concepts in the course, which they applied while reviewing case studies ...

Abstract: In addressing the complex challenge of Traffic Signal Control (TSC), Deep Reinforcement Learning (DRL) has emerged as a popular solution. In traditional DRL methods applied to TSC problems, ...

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Background: This study aims to develop and validate a survival prediction model for T4 or N3 locally advanced nasopharyngeal carcinoma (NPC) patients undergoing chemoradiotherapy (CRT) using machine ...

What if you could design the perfect PhD supervisor, someone who never misses a deadline, provides crystal-clear feedback, and adapts to your unique academic needs? It might sound like a distant dream ...

Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...