Computer-aided diagnosis (CAD) systems are widely used to diagnose breast cancer using
mammography screening. In this research, we proposed a new multistage CAD system …

This paper presents results of parameterisation of typical input–output relations within
process flow sheet of a biodiesel plant and assesses parameterisation accuracy. A variety of …

We apply deep kernel learning (DKL), which can be viewed as a combination of a Gaussian
process (GP) and a deep neural network (DNN), to compression ignition engine emissions …

This paper presents the state-of-the-art on different moving least square (MLS)-based
dimension decomposition schemes for reliability analysis and demonstrates a modified …

In this work, a cut high-dimensional model representation (cut-HDMR) expansion based on
multiple anchors is constructed via the clustering method. Specifically, a set of random input …

This thesis considers three scenarios related to chemical industry where the concepts of eco-
industrial parks (EIPs), Industry 4.0, parameterisation, blockchain and arbitrage are brought …

This paper presents results of parameterisation of typical input-output relations within
process flow sheet of a biodiesel plant and assesses parameterisation accuracy. A variety of …

In many areas of science and technology one faces a problem of replacing computationally
expensive multivariate functions by efficiently computable approximants. However, obtaining …

Complex systems are those having interactions among system states, where states are each
considered as input or output variables. These interactions can produce diverse …