Despite several decades of intense study, protein folding problem remains elusive. In this paper, we review current knowledge and the prevailing thinking in the field, and summari...
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
The pervasiveness and operational autonomy of mesh-based wireless sensor networks (WSNs) make them an ideal candidate in offering sustained monitoring functions at reasonable cost...
Rick W. Ha, Pin-Han Ho, Sherman X. Shen, Junshan Z...
Our research deals with the design of a training system to support decision-making in the preparation and the management of maintenance interventions in high-risk industries namely...
Lydie Edward, Domitile Lourdeaux, Jean-Paul A. Bar...
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...