This thesis explores how an agent can autonomously learn about its environment
just by interacting with it. This is not an easy task, since traditional
machine learning algorithms strongly depend on the user's intervention to define
the data to…

CMOS IC scaling has provided significant improvements in electronic circuit performance.
Advances in test methodologies to deal with new failure mechanisms and nanometer issues
are required. Interconnect opens are an important defect mechanism that requires detailed
knowledge of its physical…

Sparse Wireless Sensor Networks (SWSN) have been proposed to explore and gather data
from harsh environments. Exploration has been focused on finding optimal paths to obtain knowledge
about the environment while data gathering has mainly been oriented to obtain raw…