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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.

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.

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

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

Sync Projects maintained only on Github into Gitlab, for operational reasons.

An abductive framework for the interpretation of temporal data

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

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.