SinoXivThe European Union's Green Deal aims to reduce nutrient losses to air and water by 50% by 2030, requiring a substantial reduction in nitrogen (N) surplus from agricultural land. Using Europe-wide data...
Background: Timely detection of localised COVID-19 surges is essential for targeting limited health resources, yet most routine surveillance algorithms ignore spatial dependence and many Bayesian spat...
Timely and accurate electricity price forecasting is essential for the efficient operation of competitive electricity markets. However, predicting day-ahead electricity prices remains challenging due ...
Help-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...
The rapid diffusion of generative artificial intelligence (AI) in higher education has reshaped academic practices, yet its implications for transparency, authorship, and academic performance remain i...
Motor imagery (MI) electroencephalography (EEG) decoding remains challenging due to severe cross-subject variability and signal non-stationarity, which significantly degrade model generalization to un...
Phishing website detection often relies solely on lexical or HTML features, which makes classifiers fragile against obfuscated URLs and template-based page cloning. This study develops a multi-modal d...
Triply Periodic Minimal Surface (TPMS) structures have demonstrated significant potential in several applications due to their tunable mechanical response and orientation-dependent behavior. While ori...
The textile industry’s pursuit of defect-free production has driven the demand for efficient automated inspection systems, yet low-resolution imaging and subtle defect visibility remain critical chall...
Purpose:Human activity recognition is essential for supporting independent living. Although image-based approaches have achieved significant progress, they raise privacy concerns, and require adequate...
