We proposed compressive data gathering (CDG) that leverages compressive sampling (CS) principle to efficiently reduce communication cost and prolong network lifetime for large scal...
Abstract. This paper presents a method for regulatory network reconstruction from experimental data. We propose a mathematical model for regulatory interactions, based on the work ...
It is often impossible to sequence all descendent genomes to reconstruct an ancestral genome. In addition, more genomes do not necessarily give a higher accuracy for the reconstruc...
Several studies are reported in literature that use electronically recorded data for aiding decision support/reporting in the Neonatal Intensive Care Unit (NICU). In this PhD resea...
Creating virtual models of real spaces and objects is cumbersome and time consuming. This paper focuses on the problem of geometric reconstruction from sparse data obtained from c...