Federico Walas Mateo

Efficient, Fair and Accurate Deep Learning Solutions for Remote Heart Rate Estimation Director Sukno, Federico Mateo Tutor Binefa i Valls, Xavier Date of defense 2025-06-30 Abstract En els últims anys, la mesura fisiològica basada en càmera ha guanyat un gran interès en la comunitat científica, gràcies al seu potencial per monitoritzar senyals vitals com el ritme cardíac, el ritme respiratori, la saturació d'oxigen o el pols del volum sanguini.

1. Introduction In this work, we address the adoption case of machine learning (ML) through a low-code platform (LCP) [1] in a food process company to optimize energy consumption. The article goes further from previous research considering the emerging Industry 5.0 (I5.0) paradigm with its human-centered and environment sustainability vision.

A SolarWinds-style Attack Has Happened Before-Cybersecurity Lessons Learned A SolarWinds-style cyberattack happened back in in 2013-14 that affected big government agencies and thousands of companies. What should we have learned from the Dragonfly/HAVEX attack?