Browsing by Subject "Classification"
Now showing items 1-13 of 13
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Analysis of the Effects of Unexpected Outliers in the Classification of Spectroscopy Data
(2009)Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characterised by the data, whereas in many ... -
Brain haemorrhage detection through SVM classification of electrical impedance tomography measurements
(Springer, Cham, 2019-08-28)A brain haemorrhage constitutes a serious medical scenario with a need for rapid, accurate detection to facilitate treatment initiation. Machine learning (ML) techniques applied to such medical diagnostic problems can ... -
Classification of a Target Analyte in Solid Mixtures using Principal Component Analysis, Support Vector Machines and Raman Spectroscopy
(2005)The quantitative analysis of illicit materials using Raman spectroscopy is of widespread interest for law enforcement and healthcare applications. One of the difficulties faced when analysing illicit mixtures is the ... -
Classification of narcotics in solid mixtures using principal component analysis and Raman spectroscopy
(ASTM International, 2002-03-01)Eighty-five solid samples consisting of illegal narcotics diluted with several different materials were analyzed by near-infrared (785 nm excitation) Raman spectroscopy. Principal Component Analysis (PCA) was employed to ... -
Comparison of the fluorescence behavior of a biocrude oil and crude petroleum oils
(ACS Publications (American Chemical Society), 2006-02-15)The production and characterization of biocrude and petroleum like products from natural, renewable resources such as oil-bearing plant seeds is an interesting area of research at the moment. The present article discusses ... -
An evolutionary approach to automatic kernel construction
(2006)Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ... -
A hybrid method for rating prediction using linked data features and text reviews
(CEUR-WS.org, 2016)This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ... -
Infrared imaging for human thermography and breast tumor classification using thermal images
(Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)Human thermography is considered to be an integral medical diagnostic tool for detecting heat patterns and measuring quantitative temperature data of the human body. It can be used in conjunction with other medical diagnostic ... -
An integrated approach to trophic assessment of coastal waters incorporating measurement, modelling and water quality classification
(2012)Various protocols have been developed for trophic assessment of coastal waters but most incorporate single value compliance criteria for water quality parameters which, in reality, exhibit significant spatial variation. ... -
Rapid characterization and quality control of complex cell culture media solutions using Raman spectroscopy and chemometrics
(2010)The use of Raman spectroscopy coupled with chemometrics for the rapid identification, characterization, and quality assessment of Complex cell culture media components used for industrial mammalian cell culture was ... -
Testing and developing procedures for assessing and training hierarchical classification skills in young children using relational frame theory
(2018-02-22)The current thesis aimed to conceptualise, assess and train features of hierarchical classification from a behaviour analytic, or more specifically a Relational Frame Theory (RFT), perspective. Classification refers to ... -
Understanding ambient intelligence: Typologies for systems development
(2006)This paper examines the concept of ambient intelligence (AmI). Currently research in this field is ambiguous. There are not many definitions and consequently it is difficult to understand the concept. This paper seeks to ... -
Using surface-enhanced Raman scattering (SERS) and fluorescence spectroscopy for screening yeast extracts, a complex component of cell culture media
(2012)Yeastolate or yeast extract, which are hydrolysates produced by autolysis of yeast, are often employed as a raw material in the media used for industrial mammalian cell culture. The source and quality of yeastolate can ...