Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...
Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
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 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 ...
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, ...
Introduction: Automatic modulation recognition (AMR) plays a crucial role in modern communication systems for efficient signal processing and monitoring. However, existing modulation recognition ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback