Turbulence in fluids has been a popular research topic for many years due to its influence on wide range of applications. Computational Fluid Dynamics (CFD) tools are able provide plenty information about this phenomenon, but their computational cost often makes the use these unfeasible. For that reason, recent years, turbulence modelling using Artificial Neural Networks (ANNs) is becoming incr...

Estimating the Worst Case Execution Time (WCET) of a program on a given hardware platform is useful in the design of embedded real-time systems. These systems communicate with the external environment in a timely fashion, and thus impose constraints on the execution time of programs. Estimating the WCET of a program ensures that these constraints are met. WCET analysis schemes typically model m...

OBJECTIVE To compare uterine artery Doppler velocity and impedance indices in the presence and absence of uterine artery waveform notches, in the prediction of adverse pregnancy outcome in high-risk women. METHODS One hundred and fifty-seven women identified at Doppler screening as being at 'high risk' underwent a further uterine artery Doppler assessment at 24 weeks' gestation. Pulsatility a...

Accurate prediction of promoters is fundamental to understanding gene expression patterns, where confidence estimation is one of the main requirements. Using recently developed transductive confidence machine (TCM) techniques, we developed a new program TSSP-TCM for the prediction of plant promoters that also provides confidence of the prediction. The program was trained on 132 and 104 sequence...