A distributed counter is a concurrent object which provides a fetch-and-increment operation on a shared value. On the basis of a distributed counter, one can implement various fun...
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Advance reservation of connection requests is a growing focus area and a range of solutions have been proposed. However, most efforts here have focused on scheduling algorithm desi...
In particle filtering, resampling is the only step that cannot be fully parallelized. Recently, we have proposed algorithms for distributed resampling implemented on architecture...
Balakumar Balasingam, Miodrag Bolic, Petar M. Djur...