Author

Leonardo J. Valdivia

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Open access Oct 2026

Uncertainty-Aware Neural Forecasting of Air Quality in Semi-Arid Mexican Metropolises: A Case Study of the Guadalajara Metropolitan Area

Air quality degradation in rapidly urbanizing regions involves complex, non-linear dynamics that frequently elude traditional deterministic models. To tackle this limitation, this research introduces a probabilistic forecasting and transfer station methodology. By reliably extracting patterns from official sensor data,...

Diego A. De-La-Cruz Aranda, L. Valdivia, Alejandro E. Rodríguez-Sánchez et al. · Applied Sciences · 0 citations

#small language model Open access Sep 2026

HIEF: An Interpretable Evidence-Fusion Framework for Phishing Email Detection with Decomposable Decision Uncertainty and a Preliminary English–Spanish Evaluation

(1) Background: Phishing remains a pervasive and economically damaging cyberthreat. The dominant detection paradigm has moved toward deep neural and transformer-based classifiers, a literature that reports high accuracy and that does not, in general, expose a per-decision justification, whereas interpretability and aud...

Carolina Del-Valle-Soto, Carlos-Santiago Cruz-Diaz, Manuel Cardona et al. · Algorithms · 0 citations