An important scheduling problem is the one in which there are no dependencies between tasks and the tasks can be of arbitrary size. This is known as the divisible load scheduling ...
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 proposes an innovative algorithm to find the two’s complement of a binary number. The proposed method works in logarithmic time (O(logN)) instead of the worst case li...
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Distributed sensor networks offer many new capabilities for contextually monitoring environments. By making such systems mobile, we increase the application-space for the distribut...