Two Krylov subspace iterative methods, GMRES and QMR, were studied in conjunction with several preconditioning techniques for solving the linear system raised from the finite element discretisation of incompressible Navier-Stokes equations for hydrodynamic problems. The preconditioning methods under investigation were the incomplete factorisation methods such as ILU(0) and MILU, the Stokes prec...

Natural languages exhibit context-free properties such as center-embedded clauses. Recent research has sought a model that performs on these features with human-like inconsistencies, rather than like traditional discrete automata. This search has recently focussed on recurrent neural networks. It has been shown theoretically that recurrent networks are computationally as powerful as Turing mach...

Accurate incidence forecasting of infectious disease is critical for early prevention and for better government strategic planning. In this paper, we present a comprehensive study of different forecasting methods based on the monthly incidence of typhoid fever. The seasonal autoregressive integrated moving average (SARIMA) model and three different models inspired by neural networks, namely, ba...

The artificial neural network reduces humanity and society’s burden to solve complex problems highly efficiently. Artificial networks resemble brain activities based on the acquired training samples used for various applications such as classification, regression, prediction, smart grid, natural language processing, image medical diagnosis, so on. This paper illustrates different architectures,...

Abstract The prediction of financial distress has emerged as a significant concern over prolonged period spanning more than half century. This subject garnered considerable attention owing to the precise outcomes derived from its predictive models. main objective this study is predict using two types Artificial Neural Networks (ANN) compared Logistic Regression (LR), and will be done by relying...

Among the hardware techniques, two-level adaptive branch predictors with two-bit saturating counters are acknowledged as best branch predictors. They accomplish very competitive performance at low hardware cost. However, with the rapid of evolution of superscalar processors, the more accurate predictors are desired for more correct branch prediction as one of speculation method. They will lead ...

The general problem of classification of functional movements in humans with spinal cord injuries requires the following questions to be answered: what are the essential kinematic parameters that we have to observe during the movement? Is it possible to estimate preserved motor skills based on kinematics? Which computational method for identification is suited to geometric feature analysis? To ...