Context: Large language model (LLM) agents are increasingly used as software and data-engineering assistants, yet evidence about locally deployable open-weight agents remains limited. Existing evaluations often emphasize textual responses or isolated code generation rather than the validity of complete engineering arti...
Jorge García-Carrasco, Javier Sanchis, A. Reina-Reina et al.· 0 citations
Attention Robots provides preliminary evidence of convergent validity with the D2-R for behavioral attention indicators in children and adolescents, and could be further developed as a complementary tool within multimethod ADHD assessment, although larger studies are required to evaluate subgroup performance, agreement...
Alejandro Panagiotidis-Arrizabalaga, Ana Lavalle, Miguel A. Teruel et al.· JMIR Serious Games· 0 citations
The proposed PINN framework demonstrates that PINNs can serve as an efficient and accurate alternative for modelling complex vascular flow phenomena, offering significant advantages in scalability and computational cost reduction while maintaining physical consistency.
Adrián Robles Arques, Martín Ruiz Fernandez, Javier Sanchis et al.· 0 citations
It is shown that subject-level validation, preprocessing, and architectural decisions materially influence EEG-based ADHD classification, and EEG-MSCNet contributes both a model and a systematic evaluation framework.
Javier Sanchis, T. Kechadi, Miguel A. Teruel et al.· Multidimensional systems and...· 0 citations
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