This paper presents novel research on the development of a generic intelligent oil fraction
sensor based on Electrical capacitance Tomography (ECT) data. An artificial Neural …

A new approach to solve the inverse problem in electrical capacitance tomography is
presented. The proposed method is based on an artificial neural network to estimate three …

Artificial neural networks (ANNs) have been used to investigate their capabilities at
estimating key parameters for the characterization of flow processes, based on electrical …

Based on the capacitances obtained from a 12-electrode electrical capacitance tomography
(ECT) system and the least-squares support vector machine (LS-SVM) technique, a new …

Process tomography Page 104 4 Process Tomography Brian S. Hoyle, Hugh McCann, and
David M. Scott CONTENTS 4.1 Introduction …

The paper introduces a novel enabling step toward the widespread exploitation of the multi-
dimensional process sensing offered by process tomography (PT) technology that has …

A schema is introduced that aims to facilitate the widespread exploitation of the science of
process tomography (PT) that promises a unique multidimensional sensing opportunity …

Land drainage is common in peatlands. Artificially drained blanket peat catchments have
been shown to have a significantly greater soil pipe density than intact catchments. This …

Artificial Neural Network (ANN) has been shown to be a robust tool for intelligent
recognition. In every intelligent recognition task, the first dilemma would be the correct size …