The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult ...
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
—Estimating latency between the hosts in the Internet can play a significant role in the improvement of the performance of many services that use latency among hosts to make rout...
Congestion estimation is an important issue for the success of the VLSI layout. Fast congestion estimation provides an efficient means to adjust the placement and wire planning. A...