Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
This paper extends the methodology of analytic real-time analysis of distributed embedded systems towards merging and extracting sub-streams based on event type information. For e...
Simon Perathoner, Tobias Rein, Lothar Thiele, Kai ...
Low Density Parity Check (LDPC) codes are one of the most promising error correction codes that are being adopted by many wireless standards. This paper presents a case study for ...
Sangwon Seo, Trevor N. Mudge, Yuming Zhu, Chaitali...
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...