The most difficult—and often most essential— aspect of many interception and tracking tasks is constructing motion models of the targets to be found. Experts can often provide only partial information, and fitting parameters for complex motion patterns can require large amounts of training data. Specifying how to parameterize complex motion patterns is in itself a difficult task. In contrast, n...

Software reliability growth models (SRGMs) are very important for estimating and predicting software reliability. However, because the assumptions of traditional parametric SRGMs (PSRMs) are usually not consistent with the real conditions, the prediction accuracy of PSRMs are hence not very satisfying in most cases. In contrast to PSRMs, the non-parametric SRGMs (NPSRMs) which use machine learn...

Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This thesis evaluates the application of these methods to the problem domain of skin permeability. ML methods offer great potential in both predictive ability and their ability to provide mechanistic insight to, in this case, the phenomena of skin permeation. Historically, refining mathematical mod...

Recent work in the areas of nonparametric regression and spatial smoothing has focused on modelling functions of inhomogeneous smoothness. In the regression literature, important progress has been made in fitting free-knot spline models in a Bayesian context, with knots automatically being placed more densely in regions of the covariate space in which the function varies more quickly. In the sp...

In silico screening of chemical libraries or virtual chemicals may reduce drug discovery and medicine optimisation lead times and increase the probability of success by directing search through chemical space. About a dozen intelligent pharmaceutical QSAR modelling techniques were used to predict IC50 concentration (three classes) of drug interaction with a cell wall enzyme (P450 CYC2D6). Genet...

This study was conducted to investigate the effects of garlic powder (GP) black seed (BS) and plant premix (GP and BS) in the diet on broiler growth performance and intestinal morphology. included 480 Hubbard broiler chicks(day-old). There were 4 treatment groups each consisting of 3 replicates. The four dietary treatments consisted of a control (basal diet), basal diet +0.5% GP, basal diet +0....

Soft actuators have the advantages of compliance and adaptability when working with vulnerable objects, but deformation shape soft is difficult to measure or estimate. sensors made highly flexible responsive materials are promising new approaches estimation actuators, suffer from nonlinear, hysteresis, time-variant properties. A nonlinear adaptive state observer essential for sensors. Current m...

Recently, there has been an increase in the usage of centrally managed markets which are run by some form of pari-mutuel mechanism. A parimutuel mechanism is characterized by the ability to shield the market organizer from financial risk by paying the winners from the stakes of the losers. The recent introduction of new, modified pari-mutuel methods has spurred the growth of prediction markets ...

In a marine container terminal, truck dispatching is crucial problem that impacts on the operation efficiency of whole port. Traditionally, this formulated as an offline optimisation problem, whose solutions are, however, impractical for most real-world scenarios primarily because uncertainties dynamic events in both yard operations and seaside loading–unloading operations. These are either una...

In order to compute a vibrational spectrum, one often wishes start with set of ab initio Born–Oppenheimer potential values at points, called fitting and interpolate or fit find the quadrature collocation points. It is common do this once build energy surface (PES). Once PES known, it can be evaluated any point in configuration space. Gaussian Process (GP) frequently being used make PES. As case...