Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
Background: We propose a multiple sequence alignment (MSA) algorithm and compare the alignment-quality and execution-time of the proposed algorithm with that of existing algorithm...
Discrete-event network simulation is a major tool for the research and development of mobile ad-hoc networks (MANETs). These simulations are used for debugging, teaching, understa...
Currently, the interest in Ambient Intelligence (or AmI) has increased exponentially due to the widespread use of portable devices. Users demand more and more functionality from t...
Grid computing relies on fragile partnerships. Clients with hundreds or even thousands of pending service requests must seek out and form temporary alliances with remote servers e...