This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
We propose a novel approach for predicting protein functions of an organism by coupling sequence homology and PPI data between two (or more) species with multifunctional Gene Onto...
Antonina Mitrofanova, Vladimir Pavlovic, Bud Mishr...
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
This paper describes an approach to real-time decisionmaking for quality of service based scheduling of distributed asynchronous data replication. The proposed approach addresses ...