The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
In this paper, we explore a new form of dissemination called Flash Dissemination that involves dissemination of fixed, rich information to a large number of recipients in as shor...
Mayur Deshpande, Bo Xing, Iosif Lazaridis, Bijit H...
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
We address the problem of optimizing the distribution of partially replicated databases over a computer network. Replication is used to increase data availability in the presence ...
Sarah Abdul-Wahid, Razvan Andonie, Joseph Lemley, ...
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...