Multigrid solvers are among the most efficient methods for solving the Poisson equation, which is ubiquitous in computational physics. For example, in the conte...
This study investigates learners' preferences for game design elements (GDEs) in educational contexts to inform the development of purpose-driven gamification s...
This study offers new insights into students' interest in computer science (CS) education by disentangling the distinct effects of age and gender across a diver...
While the importance of human factors in agile software development is widely acknowledged, the measurement of an individual's 'agile agreement' remains an ill-...
The training and deployment of machine learning (ML) models have become extremely energy-intensive. While existing optimization efforts focus primarily on hardw...
Biological systems exhibit remarkable morphogenetic plasticity, where a single genome can encode various specialized cellular structures triggered by local chem...
Modern computing architectures feature low-precision matrix multiplication units that achieve substantially higher throughput than their high-precision counterp...
Neural models for vulnerability prediction (VP) have achieved impressive performance by learning from large-scale code repositories. However, their susceptibili...
Industry demands are growing for hyper-distributed applications that span from the cloud to the edge in domains such as smart manufacturing, transportation, and...
This paper will propose a novel machine learning based portfolio management method in the context of the cryptocurrency market. Previous researchers mainly focu...
Neurological injuries and age-related decline can impair sensory processing and disrupt motor coordination, gait, and balance. As mechanisms of neuroplasticity ...
Medical decision-making makes frequent use of algorithms that combine risk equations with rules, providing clear and standardized treatment pathways. Symbolic r...
