Explore projects

Optimization of the K3-tree developed by researchers in the UDC.

Comparator of predictive monitoring approaches that use deep learning.

MLFoMPy is an effective tool that extracts the main figures of merit (FoM) of a semiconductor's IV curve and provides useful statistical parameters for variability studies.

Notification area icon that shows the room temperature based on both the heated floor and the air conditioner sensors.

Repository for the optimization and parallelization of K3-tree using LiDAR data. Original implementation by Fernando Silva Coira (UDC) at https://gitlab.lbd.org.es/fsilva/k3-tree.

Desarrollo de una herramienta en la nube para la captación, procesado y visualización de datos de sensores

Source codes developed for the first proof-of-concept CMOS vision sensor for foreground detection, the HOPBAS1K.