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
Phonocardiogram (PCG) analysis is an inexpensive and non-invasive technique for the automatic diagnosis of heart valve diseases. In the clinical domain, PCG recordings are typically corrupted by noise, inter-subject variability, and overlapping signa... read more
The development and implementation of genetic testing has revolutionized the diagnostic landscape of autoinflammatory diseases, leading to an exponential increase in the identification of disease-associated genetic variants. Yet a substantial proport... read more
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