Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Scientists achieve major robotics milestone as robot learns 1,000 different physical tasks in single day, potentially ...
Abstract: In mobile edge computing systems, efficient decision-making for task offloading is crucial for enhancing system performance. Currently, existing reinforcement learning-based offloading ...
Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
Purpose: This study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills ...
ABSTRACT: This study investigates the specific language needs of vocational college students enrolled in a Civil Aviation English course within the cabin service program at a vocational institution in ...
This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in the 1980s, ...
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