Proving that one quantum measurement is more powerful than another has long been difficult. Physicists from Heinrich Heine ...
How can you have a proof without proving anything? Mathematicians found a way and, in the process, came to blows over it – ...
Abstract: This paper introduces a new unsupervised hyperspectral unmixing method conceived to linear but highly mixed hyperspectral data sets, in which the simplex of minimum volume, usually estimated ...
Abstract: The service restoration of system after the occurrence of high-impact events is one of the aspects of power system resiliency. Microgrids (MGs) and distributed generations (DGs) make ...
I Universidade de São Paulo, Av. do Trab. São Carlense, 400, CP 668, São Carlos, Brazil. E-mail: alysson@icmc.usp.b II CIRRELT and HEC Montréal, Montréal H3T 2A7, Canada. E-mails: ...
UnDIP is a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted using a geometric endmember ...
ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
Computed tomography-tunable diode laser absorption spectroscopy (CT-TDLAS) has been widely used in the diagnosis of the combustion flow field. Several optimized CT reconstruction algorithms such as ...
Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...
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