Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
—Many of packet loss as a result of factors other than congestion impact the performance of TCP in wired/wirelss hybrid networks. Firstly, this paper proposes one concept of Cong...
Computer visualization and networking have advanced dramatically over the last few years, partially driven by the exploding video game market. 3D hardware acceleration has reached...
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...
— This paper is concerned with the analytical modeling of computer architectures to aid in the design of high-level language-directed computer architectures. High-level language-...