Network tomography is a process for inferring "internal" link-level delay and loss performance information based on end-to-end (edge) network measurements. These methods...
Mark Coates, Rui Castro, Robert Nowak, Manik Gadhi...
Abstract--Study on human mobility is gaining increasing attention from the research community with its multiple applications to use in mobile networks, particularly for the purpose...
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
The diversity and large volumes of data processed in the Natural Sciences today has led to a proliferation of highlyspecialized and autonomous scientific databases with inherent a...
Anastasios Kementsietsidis, Frank Neven, Dieter Va...
U.S. laws and regulations are designed to support broad societal goals, such as accessibility, privacy and safety. To demonstrate that a product complies with these goals, busines...