Process-oriented programming is a design methodology in which software applications are constructed from communicating concurrent processes. A process-oriented design is typically ...
Carl G. Ritson, Adam T. Sampson, Fred R. M. Barnes
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
DNA sequence comparison is a computationally intensive problem, known widely since the competition for human DNA decryption. Database search for DNA sequence comparison is of grea...
: This paper presents a novel encryption-less algorithm to enhance security in transmission of data in networks. The algorithm uses an intuitively simple idea of a `jigsaw puzzle...
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation efficiency, ranking and selection techniques are o...
Loo Hay Lee, Ek Peng Chew, Suyan Teng, David Golds...