The Internet of Things (IoT) is transforming the healthcare industry by enabling real-time patient monitoring, predictive analytics and smart decision making across interconnected medical environments. It's still hard to do things like timely respons... read more
This study investigated the relationship between external training load metrics obtained from GPS technology and differentiated ratings of perceived exertion (dRPE) in elite youth soccer players, and evaluated the predictive value of decision tree mo... read more
Deep convolutional networks have high capacity and thus tend to overfit, especially when trained on restricted or imbalanced data, which compromises their applicability to safety applications. To address this, we propose Conditional Dropout with Dyna... read more
In modern education systems, accurate and individualized prediction of the development of students in ethics education is the central problem. Unbiased insight into the moral development path of each individual, and the provision of appropriate and t... read more
Differentiating autism spectrum disorder (ASD) from developmental delay (DD) is critical for guiding early intervention, but overlapping features and shared biological mechanisms pose challenges. This study investigates whether copy number variations... read more
The terahertz (THz) frequency spectrum, which enables ultra-high data rates, low-latency communication (URLLC), and vast connectivity, is poised to be a key component in advancing wireless technology for 6G and beyond. But creating THz antennas that ... read more
With the rapid advancement of digital media, video content has become a primary medium for information dissemination and entertainment. Background music plays a crucial role in enhancing emotional immersion and guiding narrative rhythm. However, gene... read more
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