Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
A common computational model in distributed embedded systems is that the nodes exchange signals via a network. Most often a signal represents the state of some physical device and...
Abstract— Wireless sensor networks consist of small, inexpensive devices which interact with the environment, communicate with each other, and perform distributed computations in...
Manish Kushwaha, Isaac Amundson, Xenofon D. Koutso...
Benchmark tests have been designed and conducted for the purpose of evaluating the use of automated tape libraries in on-line digital check image retrieval applications. This type...
Due to the inherent difficulty in obtaining experimental data from wikis, past quantitative wiki research has largely been focused on Wikipedia, limiting the degree that it can be...