- Over the last few years, Pervasive Computing has become a very active research topic in both academia and industry. In spite of its undeniable benefit, until recently, the wide d...
Nguyen Chan Hung, Vu Thanh Vinh, Nguyen Huu Thang,...
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
—Many emerging information processing applications require applying various fork and join type operations such as correlation, aggregation, and encoding/decoding to data streams ...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...
This paper presents an improved differential evolution (IDE) method for the solution of large-scale unit commitment (UC) problems. The objective of the proposed scheme is to determ...
We study a problem of dynamic pricing faced by a vendor with limited inventory, uncertain about demand, aiming to maximize expected discounted revenue over an infinite time horiz...