Considering the global energy crisis, developing renewable biomass energy has become an urgent strategic need. In order to better utilize biomass resources, wheat straw was used as raw material. Findi...
The 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...
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...
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...
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...
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