SinoXivHelp-seeking is a central self-regulated learning (SRL) process; however, generic scaffolds often misalign with learners’ heterogeneous needs. This systematic review addresses the lack of consolidated...
In the last decades, energy-based models (EBMs) have become an important class of probabilistic models in which a component of the likelihood is intractable and therefore cannot be evaluated explicitl...
Marine oil spills cause severe damage to ocean ecosystems and coastal economies. Timely scheduling of oil spill emergency resources is crucial for effective emergency response. Addressing the challeng...
Modeling air quality concentration plays a crucial role in predicting and mitigating airborne pollutant levels. This study collected and organized daily average air quality data and meteorological dat...
Automatic Grammar Error Correction (GEC) is a classic NLP challenge that has been applied to language education, professional writing aid, and cross-lingual communication. Despite considerable progres...
A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...
Accurate identification of equilibrium points and bifurcation boundaries is fundamental to understanding the nonlinear lateral dynamics of rear-wheel-drive (RWD) vehicles, particularly during aggressi...
The growing prevalence of diabetes highlights the need for scalable, accurate, and privacy-conscious testing technologies. To train models, traditional machine learning (ML) techniques often rely on c...
This paper studies whether large language models (LLMs) express systematically different opinions on contested questions in development economics and political economy, and whether those opinions are ...
In the distributed localisation problem (DLP), n anonymous robots (agents) A0, . . . ,An−1 are located at arbitrary points p0, . . . , pn−1 ∈ S, where S is a Euclidean space. Initially, each agent Ai ...
