This paper proposes an FPGA implementation of an Adaptive Noise Canceller using the Least Mean Square (LMS) algorithm. The hardware architecture is synthesized using the Xilinx Sp...
— This dissertation presents an adaptive probing based tool for fault diagnosis in computer networks by addressing the problems of probe station selection and probe selection. We...
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online app...
This paper1 presents a Web adaptation and personalization architecture that uses cognitive aspects as its core filtering element. The innovation of the proposed architecture focus...