J
Julian Morris
Researcher at Newcastle University
Publications - 105
Citations - 2704
Julian Morris is an academic researcher from Newcastle University. The author has contributed to research in topics: Fault detection and isolation & Partial least squares regression. The author has an hindex of 25, co-authored 103 publications receiving 2462 citations. Previous affiliations of Julian Morris include Ecole nationale supérieure des mines de Saint-Étienne & University of Strathclyde.
Papers
More filters
Journal ArticleDOI
Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review
Levente L. Simon,Hajnalka Pataki,György Marosi,Fabian Meemken,Konrad Hungerbühler,Alfons Baiker,Srinivas Tummala,Brian Glennon,Martin Kuentz,Gerry Steele,Herman J. M. Kramer,James W. Rydzak,Zeng-Ping Chen,Julian Morris,Francois Kjell,Ravendra Singh,Rafiqul Gani,Krist V. Gernaey,Marjatta Louhi-Kultanen,John Oreilly,Niklas Sandler,Osmo Antikainen,Jouko Yliruusi,Patrick Frohberg,Joachim Ulrich,Richard D. Braatz,Tom Leyssens,Moritz von Stosch,Rui Oliveira,Reginald B. H. Tan,Huiquan Wu,Mansoor A. Khan,Des O'grady,Anjan Pandey,Remko Westra,Emmanuel Delle-Case,Detlef Pape,Daniele Angelosante,Yannick Maret,Olivier Steiger,Miklos Lenner,Kaoutar Abbou-Oucherif,Zoltan K. Nagy,James D. Litster,Vamsi Krishna Kamaraju,Min-Sen Chiu +45 more
TL;DR: In this paper, a multiauthor review article aims to bring readers up to date with some of the current trends in the field of process analytical technology (PAT) by summarizing each aspect of the subject (sensor development, PAT based process monitoring and control methods) and presenting applications both in industrial laboratories and in manufacture.
Journal ArticleDOI
Model selection for partial least squares regression
TL;DR: A comparison between Wold's R criterion and AIC for the selection of the number of latent variables to include in a PLS model that will form the basis of a multivariate statistical process control representation is undertaken based on a simulation study.
Journal ArticleDOI
Neural-network contributions in biotechnology
Gary Montague,Julian Morris +1 more
TL;DR: The contribution of various network methodologies to bioprocess modelling, control and pattern recognition, and the contribution that neural networks can make to biochemical and microbiological scientific research is reviewed.
Journal ArticleDOI
Particle filters for state and parameter estimation in batch processes
TL;DR: In this paper, particle filters based on the sequential Monte Carlo method are used for the estimation task, where a kernel smoothing approach is introduced for the robust estimation of unknown and time-varying model parameters.
Journal ArticleDOI
Gaussian process regression for multivariate spectroscopic calibration
TL;DR: The effectiveness of theGaussian process approach for the development of a calibration model is demonstrated through its application to two spectroscopic data sets and it is concluded that the Gaussian process exhibits enhanced behaviour.